Matlab project

MATLAB

Contact: 9158547792 Email: [email protected], [email protected], www.candorminds.com

CODE TITLE DESCRIPTION

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MP01

Context-Dependent Logo Matching and Recognition

Image Recognition, Logo Detection/ Recognition, Scale Invariant Feature Transform, Identify the Original or Fake Products/Certificates/Etc By Using Logos.

MP02

Thermal Imaging as a Biometrics Approach to Facial Signature Authentication

Biometric Recognition (Face), Thermal Imaging, Authentication, Localized Contouring Algorithms, Information Security, Law Enforcement, Smart cards.

MP03

Robust Document Image Binarization Technique for Degraded Document Images

Image Restoration/ Degradation Degraded Document Image Binarization, Used in Restoring Document Images that suffer from Smear, Historical Documents.

MP04

A Novel Reversible Data Hiding Scheme Based on Two-Dimensional Difference- Histogram Modification

Steganography, Reversible Data Hiding, Difference-Pair-Mapping, Two- Dimensional Difference- Histogram, Military, Medicine and Art.

MP05

Fully Automated Segmentation and Tra c k i n g o f t h e I n t i m a M e d i a T h i c k n e s s i n U l t ra s o u n d V i d e o Sequences of the Common Carotid Artery

Bio-Medical, Image Segmentation, Thresholding, IMC Segmentation and Tracking Algorithm, Diagnosis and Treatment Planning, Early Detection of Blockage thus Avoids Strokes and Heart Attacks.

MP06

Cross-Scale Coefficient Selection for Volumetric Medical Image Fusion

Bio-Medical, Medical Image Fusion, 3-D Medical Image Fusion, Cross- Scale Fusion Rule, Facilitates Image Processing.

MP07

Automatic Segmentation of Scaling in 2-D Psoriasis Skin Images

Bio-Medical, Image Segmentation, Markov Random Field (MRF), Support Vector Machine (SVM), Pixel Labeling Algorithm, Improvement in Psoriasis Treatment, Used to solve a wide range of Scaling Problems.

MP08

Super pixel Classification based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

Bio-Medical, Fundus Image Processing, Super Pixel Classification, Thresholding, Histogram Equalization, Simple LinearIterative Clustering Algorithm (SLIC), Early Treatment can Prevent Patients getting affected from Severe Condition and progression of Disease can be slowed down.

MP09

Fingerprint Combination for Privacy Protection

Biometric Recognition, Finger, Reference Points Detection, Two-Stage Fingerprint Matching (Query Minutiae Determination and Matching Score Calculation), Minutiae-based Finger Print Matching Algorithms, Authentication, Security, Biometric Time Attendance Systems, Privacy protection.

mailto:[email protected],


http://www.candorminds.com/

MATLAB



IEEE

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MP10

Vertical-Edge-Based Car-License- Plate Detection Method

Image Segmentation, Adaptive Thresholding (AT), Sobel Operator, Unwanted-Line Elimination Algorithm (ULEA), Vertical Edge Detection Algorithm (VEDA), Payment of Parking Fees, Highway Toll Fees, Traffic Data Collection, Crime Prevention, Vehicle Access Control, and Border Control.

MP11

A Hierarchical Approach to Change Detection in Very High Resolution SAR Images for Surveillance Applications

Image Fusion, Ratio Operator, 2-D Discrete Stationary Wavelet Transform (2D-SWT), Thresholding, The Bayes Decision Rule, Expectation- Maximization (EM) Algorithm, Change Detection (CD) maps, Remote Sensing, Freight Traffic Surveillance.

MP12

A Watermarking Based Medical Image Integrity Control System and an Image Moment Signature for Tampering Characterization

In this paper, we present a medical image integrity verification system to

detect and approximate local malevolent image alterations as well as

identifying the nature of a global processing an image may have undergone. The

proposed integrity analysis process is based on non significant region

watermarking with signatures extracted from different pixel blocks of interest

and which are compared with the recomputed ones at the verification stage.

MP13

C o m p r e s s i v e F r a m e w o r k f o r Demosaicing of Natural Images

In this paper, we present compressive demosaicing (CD), a framework for demosaicing natural images based on the theory of compressed sensing (CS). Given sensed samples of an image, CD employs a CS solver to find the sparse representation of that image under a fixed sparsifying dictionary Ψ. As opposed to state of the art CS- based demosaicing approaches, we consider a clear distinction between the interchannel (color) and interpixel correlations of natural images.

MP14

Context-Based Hierarchical Unequal Merging for SAR Image Segmentation

This paper presents an image segmentation method named Context- based Hierarchical Unequal Merging for Synthetic aperture radar (SAR) Image Segmentation (CHUMSIS), which uses superpixels as the operation units instead of pixels. Based on the Gestalt laws, three rules that realize a new and natural way to manage different kinds of features extracted from SAR images are proposed to represent superpixel context.

MP15

Discrete Wavelet Transform and Data Expansion Reduction in Homo- morphic Encrypted Domain

In this paper, we propose a method for implementing discrete wavelet

transform (DWT) and multiresolution analysis (MRA) in homomorphic

encrypted domain. We first suggest a framework for performing DWT and

inverse DWT (IDWT) in the encrypted domain, then conduct an analysis of data

expansion and quantization errors under the framework. To solve the problem

of data expansion, which may be very important in practical applications,

MP16

Estimating Information from Image Colors An Application to Digital Cameras and Natural Scenes

The colors present in an image of a scene provide information about its constituent elements. But the amount of information depends on the imaging conditions and on how information is calculated. This work had two aims. The first was to derive explicitly estimators of the information available and the information retrieved from the color values at each point in images of a scene under different illuminations.

MP17

General Constructions for Threshold Multiple-Secret Visual Cryptographic Schemes

A conventional threshold (k out of n) visual secret sharing scheme encodes one secret image P into n transparencies (called shares) such that any group of k transparencies reveals P when they are superimposed, while that of less than k ones cannot. We define and develop general constructions for threshold multiple-secret visual cryptographic schemes (MVCSs)

MP18

General Framework to Histogram- Shifting-Based Reversible Data Hiding

In this paper, we revisit the HS technique and present a general framework to construct HS-based RDH. By the proposed framework, one can get a RDH algorithm by simply designing the so-called shifting and embedding functions. Moreover, by taking specific shifting and embedding functions, we show that several RDH algorithms reported in the literature are special cases of this general construction.




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MP19

Hyperspectral Imagery Restoration U s i n g N o n l o ca l S p e c t ra l - Sp at i a l Structured Sparse Representation With Noise Estimation

In this paper, we develop a sparse representation based noise reduction method for hyperspectral imagery, which is dependent on the assumption that the non-noise component in an observed signal can be sparsely decomposed over a redundant dictionary while the noise component does not have this property.

MP20

I n t e r a c t i v e S e g m e n t a t i o n f o r Change Detection in Multispectral Remote-Sensing Images

In this letter, we propose to solve the change detection (CD) problem in multitemporal remote-sensing images using interactive segmentation methods. The user needs to input markers related to change and no- change classes in the difference image. Then, the pixels under these markers are used by the support vector machine classifier to generate a spectral-change map.

MP21

I nt ra - a n d - I nte r - C o n st ra i nt - B a s e d V i d e o E n h a n c e m e n t B a s e d o n Piecewise Tone Mapping

In this paper, we propose a new intra-and-inter-constraint-based video enhancement approach aiming to: 1) achieve high intraframe quality of the entire picture where multiple regions-of-interest (ROIs) can be adaptively and simultaneously enhanced, and 2) guarantee the interframe quality consistencies among video frames. We first analyze features from different ROIs and create a piecewise tone mapping curve for the entire frame such that the intraframe

MP22

Latent Fingerprint Matching Using Descriptor-Based Hough Transform

In this paper, we propose a new fingerprint matching algorithm which is especially designed for matching latents. The proposed algorithm uses a robust alignment algorithm (descriptor-based Hough transform) to align fingerprints and measures similarity between fingerprints by considering both minutiae and orientation field information. To be consistent with the common practice in latent matching (i.e., only minutiae are marked by

MP23

LDFT-Based Watermarking Resilient to Local Desynchron+ization Attacks

In this paper, we present a blind image watermarking resynchronization scheme against local transform attacks. First, we propose a new feature transform named local daisy feature transform (LDFT), which is not only globally but also locally invariable. Then, the binary space partitioning (BSP) tree is used to partition the geometrically invariant LDFT space. In the BSP tree, the location of each pixel is fixed under global transform,

MP24

Local Directional Number Pattern for Face Analysis Face and Expression Recognition

This paper proposes a novel local feature descriptor, local directional number pattern (LDN), for face analysis, i.e., face and expression recognition. LDN encodes the directional information of the face's textures (i.e., the texture's structure) in a compact way, producing a more discriminative code than current methods. We compute the structure of each micro-pattern with the aid of a compass mask that extracts

MP25

Log-Gabor Filters for Image-Based Vehicle Verification

This paper proposes a novel local feature descriptor, local directional number pattern (LDN), for face analysis, i.e., face and expression recognition. LDN encodes the directional information of the face's textures (i.e., the texture's structure) in a compact way, producing a more discriminative code than current methods. We compute the structure of each micro-pattern with the aid of a compass mask that extracts directional information,

MP26

Noise Reduction Based on Partial- Refe re n c e , D u a l - Tre e C o m p l ex - Wavelet Transform Shrinkage

images of spray-based methods tend to exhibit noise with unknown statistical distribution. To avoid inappropriate assumptions on the statistical characteristics of noise, a different one is made. In fact, the non-enhanced image is considered to be either free of noise or affected by non-perceivable levels of noise.

MP27

Query-Adaptive Image Search With Hash Codes

This paper introduces an approach that enables query-adaptive ranking of the returned images with equal Hamming distances to the queries. This is achieved by firstly offline learning bitwise weights of the hash codes for a diverse set of predefined semantic concept classes. We formulate the weight learning process as a quadratic programming problem that minimizes intra-class distance while preserving inter-class relationship




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MP28

R e v e a l i n g t h e Tr a c e s o f J P E G Compression Anti-Forensics

In this paper, we study the processing chain that arises in the case of JPEG compression anti- forensics. We take the perspective of the forensic analyst, and we show how it is possible to counter the aforementioned anti-forensic method revealing the traces of JPEG compression, regardless of the quantization matrix being used.

MP29

Reversible Data Hiding With Optimal Value Transfer

In reversible data hiding techniques, the values of host data are modified according to some particular rules and the original host content can be perfectly restored after extraction of the hidden data on receiver side. In this paper, the optimal rule of value modification under a payload- distortion criterion is found by using an iterative procedure, and a practical reversible data hiding scheme is proposed.

MP30

Reversible Watermarking Based on Invariant Image Classification and Dynamic Histogram Shifting

In this paper, we propose a new reversible watermarking scheme. One first contribution is a histogram shifting modulation which adaptively takes care of the local specificities of the image content. By applying it to the image prediction- errors and by considering their immediate neighborhood, the scheme we propose nserts ata n textured areas where other methods fail to do so.

MP31

R o b u s t F a c e R e c o g n i t i o n f o r Uncontrolled Pose and Illumination Changes

Face recognition has made significant advances in the last decade, but o b u s t c o m m e r c i a l a p p l i c a t i o n s a r e s t i l l l a c k i n g . C u r r e n t authentication/identification applications are limited to controlled settings, e.g., limited pose and illumination changes, with the user usually aware of being screened and collaborating in the process. Among others, pose and illumination changes are limited.

MP32

Secure Watermarking for Multimedia Content Protection

The paper illustrates recent results regarding secure watermarking to the signal processing community, highlighting both benefits and still open issues. Secure signal processing, by which indicates a set of techniques able to process sensitive signals that have been obfuscated either by encryption or by other privacy-preserving primitives, may offer valuable solutions to the aforementioned issues.

MP33

V i s u a l l y L o s s l e s s E n c o d i n g Fo r JPEG2000

This paper presents a method of encoding color images in a visually lossless

manner using JPEG2000. In order to hide coding artifacts caused by

quantization, visibility thresholds (VTs) are measured and used for quantization

of subband signals in JPEG2000. The VTs are experimentally determined from

statistically modeled quantization distortion, which is based on the distribution

of wavelet coefficients and the dead-zone quantizer of JPEG2000.

MP34

Audio Watermarking Via EMD In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called Intrinsic Mode Functions (IMFs).

MP35

A Novel Attention-Based Key-Frame Determination Method

In this paper, we proposed a novel attention-based key frame Determination system by integrating the object-based visual attention maps and the contextual on-going game outcomes. The decision of the number of key-frames is determined by utilizing the contextual attention score

MP36

A M o d e l - B a s e d S h o t B o u n d a r y Detection Technique Using Frame Transition Parameters

The proposed method is relatively less dependent on user defined thresholds and is free from sliding window size as widely used by various schemes found in the literature. Moreover, handling both abrupt and gradual transitions along with non-transition frames under a single framework using model guided visual feature is another unique aspect of the work.




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MP37

Video based Tracking, Learning, And Recognition Method For Multiple Moving Objects

This paper proposes a cost reduction method for the MCMC approach by taking moves, i.e., birth and death, out of the iteration loop of the Markov chain when different moving objects interact. For stable and robust tracking, an ellipse model with stochastic model parameters is used. Moreover, our HMM method integrates several different modules in order to cope with multiple discontinuous trajectories.

CM01

Pitch Autopilot Design for Agile Missiles with Uncertain Aerodynamic Coefficients

Communication, Autopilot Design For Agile Missiles, Angles Of Attack, Integrator Back Stepping, H -Norm Minimization, Aerodynamics.

IEEE

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CM02

Cognitive Radio Networks with Orthogonal Space-Time Block Coding and Multiuser Diversity

Communication, Cognitive Radio, Mobile Communication, OSTBC, Transmit Antenna Selection (TAS), Multiuser Selection.

CM03

Single-Carrier Frequency-Domain E q u a l i z e r w i t h M u l t i - A n t e n n a Transmit Diversity

Communication, Wi-Max, Alamouti Signaling, Minimum Mean Square Error (MMSE), Zero Forcing, Cyclic Delay Diversity (CDD).

CM04

A Novel Phase Offset SLM Scheme for PAPR Reduction in Alamouti MIMO- O F D M S y s t e m s W i t h o u t S i d e Information

Communication, PAPR, SLM, space-frequency block coding (SFBC), video broadcasting and 3GPP, MIMO - OFDM.

CM05

A n I n te r fe re n c e N u l l i n g B a s e d Channel Independent Precoding for M I M O - O F D M S y s t e m s w i t h Insufficient Cyclic Prefix

Communication, Cyclic Prefix (CP), Interference Alignment (IA), CIR, ICI And ISI, LTE or Mobile Communication, MIMO - OFDM.

CM06

Pilot Symbol Parameter Optimization Based on Imperfect Channel State Prediction for OFDM Systems

Communication, WIMAX, Channel Estimation, Minimum Mean Square Error (MMSE), Pilot Symbol Assisted Modulation (PSAM), OFDM.

CM07

Quantized CSI-Based Tomlinson- Harashima Precoding in Multiuser MIMO Systems

Communication, MIMO Systems, Tomlinson-Harashima Precoding, Quantized Channel State Information (CSI), QR Decomposition, Random Vector Quantization, Zero-Forcing, Wireless Communication.

CM08

Inner Bound on the GDOF of the K- User MIMO Gaussian Symmetric Interference Channel

Communication, MIMO Systems, Generalized Degrees Of Freedom, Interference Channel, Han- Kobayashi Scheme, Wireless Communication, Interference Alignment, Zero-Forcing.




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CM09

Spectrum Sensing for Digital Primary Signals in Cognitive Radio: A Bayesian Approach for Maximizing Spectrum Utilization

Communication, Cognitive Radio, Mobile Communication, Bayesian Detector, PSK modulation.

CM10

Multiple Primary User Spectrum Sensing in the Low SNR Regime

Communication, Low SNR Regime, Spectrum Sensing, Multipath channels, Multiple primary users, Wireless communication.

CM11

A Peak Power Efficient Cooperative D i ve rs i t y u s i n g S ta r - Q A M w i t h Coherent/Non-coherent Detection

Communication, Power amplifier, QAM, Amplify and-forward (AF), Pair wise error probability (PEP), Satellite communication, DVB-SH.

CM12

V i d e o - B a s e d C r o w d D e n s i t y Estimation and Prediction System for Wide-Area Surveillance

Communication, Crowd Density Estimation, Prediction System, Accumulated Mosaic Image Difference (AMID), GMM, Visual Surveillance, Automated Monitoring Crowd Movements.

CM13

Delay-Limited Source and Channel Coding of Quasi-Stationary Sources over Block Fading Channels: Design and Scaling Laws

Communication, MIMO systems, Outage Capacity, Quasi-Stationary Source, Outage Distortion, Source And Channel Coding, Rate And Power Adaptation, Wireless Communication.

CM14

Interference Alignment Techniques for MIMO Multi-Cell Interfering Broadcast Channels

Communication, Cellular Network, Medium Access Channel-Broadcast Channel(MAC-BC), Interference Alignment, Beam Forming.

CM15

S p a c e - T i m e C o d e D e s i g n f o r Multiple- Access Channels With Quantized Feedback

Communication, TDMA, Space Time Block Coding (STBC), Full Diversity, Mobile Ad-Hoc Networks

CM16

I n t e r f e r e n c e A l i g n m e n t W i t h Differential Feed Back

Interference alignment (IA) has been recognized as a promising technique to obtain large multiplexing gain in multiple-input-multiple-output (MIMO) interference channels. Most existing IA schemes require global channel state information (CSI) at the transmitter to design precoding vectors and, thus, result in significant capacity overhead in the feedback link.

DSP01

Wavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Systems

DSP, Data Security, Encryption And Wavelet Decomposition, Water Marking, Biomedical Applications.

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DSP02

Audio Watermarking Via EMD DSP, Water Marking , Empirical Mode Decomposition (EMD), Synchronization Code, IMF, Signal Security And Copy Rights.

DSP03

Empirical Mode Decomposition vs. Wavelet Decomposition for the Extraction of Respiratory Signal from Single- Channel ECG: a Comparison

DSP, Encryption and Wavelet Decomposition, Embedding, Empirical Mode Decomposition, Respiratory Sensing System, Biomedical Applications.

DSP04

Cooperative Secure Beam forming for AF Relay Networks With Multiple Eavesdroppers

DSP, Secure Communication, Amplify-And-Forward Relaying, Cooperative Beam Forming, Physical-Layer Security, Secrecy Rate Maximization

DSP05

Performance of Two Low-Rank STAP Filters in a Heterogeneous Noise

DSP, Space Time Adaptive Processing, Low-rank clutter, Normalized sample Covariance matrix, Perturbation method, SIRV, Sample Covariance Matrix. RADAR

MP01

C h a n ge D e te c t i o n i n Sy nt h e t i c Aperture Radar Images based on Image Fusion and Fuzzy Clustering

In this paper is based on unsupervised distribution-free change detection approach for synthetic aperture radar (SAR) images based on an image fusion strategy and a novel fuzzy clustering algorithm. Experiments on real SAR images show that the image fusion strategy integrates the advantages of the log-ratio operator and the mean-ratio operator and gains a better performance. The change detection results obtained by the improved

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MP02

Image Quality Assessment Based on Gradient Similarity

In this proposed scheme considers both luminance and contrast structural changes to effectively assess image quality. The effects of the changes in luminance and contrast structure are integrated via an adaptive method to obtain the overall image quality score. Extensive experiments conducted with six publicly available subject-rated databases have confirmed the effectiveness, robustness, and efficiency of the proposed

MP03

Removing Boundary Artifacts for Real- T i m e I t e r a t e d S h r i n k a g e d e convolution

In this paper we propose a solution to the problem of boundary artifacts appearing in several recently published fast de blurring algorithms based on iterated shrinkage thresholding in a sparse domain and Fourier domain de convolution. Our approach adapts an idea proposed by Reeves for de convolution by the Wiener filter.

MP04

Interpolation-Based Image Super- Resolution using multi surface Fitting

In this paper, we propose a new interpolation-based method of image super- resolution reconstruction. The idea is using Multi surface fitting to take full advantage of spatial structure information. Each site of low- resolution pixels is fitted with one surface, and the final estimation is made by fusing the multi sampling values on these surfaces in the maximum a

MP05

A Semi supervised Segmentation Model for Collections of Images

In this paper, we consider the problem of segmentation of large collections of images. We propose a semi supervised optimizationmodel that determines an efficient Segmentation of many input images. The Advantages of the model are twofold. The proposed model is effective for segmentation and is computationally efficient




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MP06

Image Fusion Using Higher Order Singular Value Decomposition

In this paper proposes novel higher order singular value decomposition (HOSVD)- based image fusion. This paper proposes a novel and flexible sigmoid-function-like coefficient-combining scheme, which incorporates the usual choose-max scheme and the weighted average scheme, and easily extends the proposed algorithm to fuse multiple or color images.

MP07

Blind Separation of Image Sources via Adaptive Dictionary Learning

In this paper, we address fail to successfully recover the sources problem and attempt to give a solution via fusing the dictionary Learning into the source separation. The proposed algorithm is designed to adaptively learn the dictionaries from the mixed images within the source separation Process. In the proposed hierarchical method, a local dictionary is adaptively

MP08

A N e w M e t h o d f o r C r o s s - Normalization and multi temporal Visualization of SAR Images for the Detection of Flooded Areas

This paper is based on multi temporal synthetic aperture radar (SAR) images. Cross-calibration/normalization is proposed to solve this problem. This, in turn, facilitates image enhancement and the numerical comparison of different image takes together with data fusion and Visualization processes.

MP09

Human Identification Using Finger Images

In this proposed system simultaneously acquires the finger-vein and low- resolution fingerprint images and combines these two evidences using a novel score-level Combination strategy. Our finger-vein identification approach utilizes peg-free and more user-friendly unconstrained imaging. We develop and investigate two new score- level combinations, i.e., holistic and nonlinear fusion,

MP15

Scalable Coding of Encrypted images In this paper proposes a novel scheme of Scalable coding for encrypted images. In the encryption phase, the original pixel values are masked by a modulo-256 addition with pseudorandom numbers that are derived from a secret key. After decomposing the encrypted data into a down sampled sub image and several data sets with a multiple-resolution construction At the receiver side, the quantized coefficients can be used to reconstruct

MP18

No stationary Harmonic Modeling for ECG Removal in Surface EMG Signals

We present a compact approach for mitigating the presence of (ECG) in surface (EMG) signals by Means of time-variant harmonic modeling of the cardiac artifact. Once the model parameters (Polynomial coefficients) are estimated, the ECG signal component is generated and subtracted from the mixture in order to obtain the EMG

MP19

An Ensemble-Based System for Micro aneurysm Detection and Diabetic Retinopathy Grading

We propose an ensemble-based framework to improve micro aneurysm detection. We provide an ensemble creation framework to select the best combination. An exhaustive Quantitative analysis is also given to prove the superiority of our approach over individual algorithms. We also investigate the grading performance of our method, which is proven to be competitive with Other screening systems.

MP20

A B l u r - r o b u s t D e s c r i p t o r w i t h Applications to Face Recognition

Understanding the effect of blur is an important problem in unconstrained visual analysis. We address this problem in the context of image-based recognition, by a fusion of image-formation models, and differential geometric tools.

MP21

A Complete Processing Chain for Shadow Detection and Re- construction in VHR Images

This paper proposes to face this problem as a whole through the proposal of a complete processing chain, which relies on various advanced image processing and pattern recognition tools. The first key point of the chain is that shadow areas are not only detected but also classified to allow their customized compensation. The detection and classification tasks are implemented by means of the state-of-the-art support vector machine




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MP22

A Generalized Logarithmic Image Processing Model Based on the Giga vision Sensor Model

In this paper, by studying these two seemingly unrelated Models, we develop a generalized LIP (GLIP) model. With the LIP model being its special case, the GLIP model not only provides new insights into the LIP model but also defines new image representations and operations for solving general image processing problems that are not necessarily Related to the GVS. A new parametric LIP model is also developed.

MP23

A Novel Data Embedding Method Using Adaptive Pixel Pair Matching

This paper proposes a new data-hiding method based on pixel pair matching (PPM). The basic idea of PPM is to use the values of pixel pair as a reference coordinate, and search a coordinate in the neighborhood set of this pixel pair according to a given message digit.learned for each source along with Separation. This process improves the quality of source separation even in noisy

MP24

A Primal–Dual Method for Total- Variation-Based Wavelet Domain In painting

Loss of information in a wavelet domain can occur during storage or transmission when the images are formatted and stored in terms of wavelet coefficients. This calls for image in painting in wavelet domains. In this paper, a variational approach is used to formulate the reconstruction problem. We propose a simple but very efficient iterative scheme to calculate an Optimal solution and prove its convergence.

MP25

BM3D Frames and Variation al Image Deblurring

In this paper, we construct analysis and synthesis frames, formalizing BM3D image modeling, and use these frames to develop novel iterative deblurring algorithms. We consider two different formulations of the deblurring problem, i.e., one given by the minimization of the single- objective function and another based on the generalized Nash equilibrium (GNE) balance of two objective functions.

MP26

Color Local Texture Features for Color Face Recognition

This paper proposes new color local texture features, i.e., color local Gabor wavelets (CLGWs) and color local binary pattern (CLBP), for the purpose of face recognition (FR). The proposed color local texture features are able to exploit the discriminative information derived from spatiochromatic texture patterns of different spectral channels within a certain local face Region.

MP27

G a u s s i a n - M i x t u r e - M o d e l - B a s e d Spatial Neighborhood Relationships for Pixel Labeling Problem

In this paper, we present a new algorithm for pixel labeling and image segmentation based on the standard Gaussian mixture model (GMM). Unlike the standard GMM where pixels themselves are considered independent of each other and the spatial relationship between neighboring pixels is not taken into account, the proposed method incorporates this spatial relationship into the standard GMM.

MP28

Image Prediction Based on Neighbor- Embedding Methods

This paper describes two new intra image prediction methods based on two data dimensionality reduction methods: Nonnegative matrix factorization (NMF) and locally linear embedding. These two methods aim at approximating a block to be predicted in the image as a linear combination of -nearest neighbors Determined on the known pixels in a causal neighborhood of The input block.

MP29

Low-Complexity Image Processing for Real-Time Detection of Neonatal Clonic Seizures

In this paper, we consider a novel low-complexity real-time image processing-based approach to the detection of Neonatal clonic seizures. Our approach is based on the extraction, from a video of a newborn, of an average luminance signal Representative of the body movements. Since clonic seizures are characterized by periodic movements of parts of the body by evaluating the periodicity of the extracted average

MP30

Monotonic Regression: A New Way for Correlating Subjective and Objective Ratings in Image Quality Research

To assess the performance of image quality metrics (IQMs), some regressions, such as logistic regression and polynomial regression, are used to correlate objective ratings with subjective scores. However, some defects in optimality are shown in these regressions. In this correspondence, monotonic regression (MR) is found to be an effective correlation method in the performance assessment of IQMs.




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MP31

Patch-Based Near-Optimal Image Denoising

In this paper, we propose a denoising method motivated by our previous

analysis of the performance bounds for image denoising. Insights from that

study are used here to derive a high-performance practical denoising

algorithm.A patch-based Wiener filter that exploits patch redundancy for

image denoising. Our framework uses both geometrically and

photometrically similar patches to estimate the different filter parameters.

MP32

Performance Analysis of a Block- Neighborhood-Based Self-Recovery Fragile Watermarking Scheme

In this paper,we present the performance analysis of a self-recovery fragile

watermarking scheme using block-neighborhood tamper characterization.

This method uses a pseudorandom Sequence to generate the nonlinear

block-mapping and employs an optimized neighborhood characterization

method to detect the tampering. Performance of the proposed method and

its resistance to malicious attacks are analyzed.

MP33

Semi supervised Biased Maximum Margin Analysis for Interactive Image Retrieval

With many potential practical applications, content- based image retrieval (CBIR) has attracted substantial attention during the past few years. A variety of relevance feedback (RF) schemes have been developed as a powerful tool to bridge the semantic gap between low-level visual features and high-level semantic concepts, and thus to improve the performance of CBIR systems.

MP34

Separable Reversible Data Hiding in Encrypted Image

This work proposes a novel scheme for separable reversible data hiding in encrypted images. In the first phase, a content owner encrypts the original uncompressed image using an encryption key. Then, a data-hider may compress the least significant bits of the encrypted image using a data- hiding key to create a sparse space to accommodate some additional

MP35

Automatic Image Equalization and C o n t r a s t E n h a n c e m e n t U s i n g Gaussian Mixture Modeling

In this paper, we propose an adaptive image equalization algorithm that automatically enhances the contrast in an input image. The algorithm uses the Gaussian mixture model to model the image gray-level distribution, and the intersection points of the Gaussian components in the model are used to partition the dynamic range of the image into input gray-level intervals.

MP36

Active Curve Recovery of Region Boundary Patterns

This study investigates the recovery of region boundary patterns in an image by a variational level set method which drives an active curve to coincide with boundaries on which a feature distribution matches a reference distribution. We formulate the scheme for both the Kullback- Leibler and the Bhattacharyya similarities,

MP37

Adaptive Perona–Malik Model Based on the Variable Exponent for Image Denoising

This paper introduces a class of adaptive Perona–Malik (PM) diffusion, which combines the PM equation with the heat equation. The PM equation provides a potential algorithm for image segmentation, noise removal, edge detection, and image enhancement.

MP38

A d a p t i ve S te ga n a l ys i s o f L e a st S i g n i f i ca nt B i t Re p l a c e m e nt i n Grayscale Natural Images

This paper deals with the detection of hidden bits in the Least Significant Bit (LSB) plane of a natural image. The mean level and the covariance matrix of the image, considered as a quantized Gaussian random matrix, are unknown. An adaptive statistical test is designed such that its probability distribution is always Independent of the unknown image parameters, while ensuring a high probability of hidden bits detection.

MP39

Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrieval

In this paper, we propose a novel image indexing and retrieval algorithm using local tetra patterns (LTrPs) for content-based image retrieval (CBIR). The standard local binary pattern (LBP) and local ternary pattern (LTP) encode the relationship between the referenced pixel and its surrounding neighbors by computing gray-level difference.




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MP40

L o w D i s t o r t i o n Tr a n s f o r m f o r Reversible Watermarking

This paper proposes a low-distortion transform for prediction-error

expansion reversible watermarking. The transform is derived by taking a

simple linear predictor and by embedding the expanded prediction

error not only into the current pixel but also into its prediction context.

MP41

PDE-Based Enhancement of Color Images in RGB Space

A novel method for color image enhancement is proposed as an extension

of the scalar-diffusion–shock-filter coupling model, where noisy and

blurred images are de noised and sharpened. The proposed model is based

on using the single vectors of the gradient magnitude and the second

derivatives as a manner to relate different color components of the image.

Situations.

MP42

A n A p p r o a c h F o r I r i s P l a n t Classification Using Neural Network

This paper is related to the use of multi layer feed-forward neural networks (MLFF) and back propagation algorithm towards the identification of IRIS plants on the basis of sepal length, sepal width, petal length, and petal width. A variety of constructive neural-network learning algorithms have been proposed for solving the general

MP43

Edge Strength Filter Based Color Filter Array Interpolation

The basis of the proposed System is the observation that the constant color difference assumption tends to fail across edges. If one can effectively utilize edge information to avoid averaging non-correlated color differences, demosaicing performance could increase dramatically.

MP44

P o w e r - C o n s t r a i n e d C o n t r a s t Enhancement for Emissive Displays Based on Histogram Equalization

We propose a PCCE algorithm for emissive displays based on HE. First, we develop a histogram modification (HM) scheme, which reduces large histogram values to alleviate the contrast overstretching of the conventional HE technique. Then, we make a power-consumption model for emissive displays and formulate an objective function, consisting of the histogram-equalizing term and the power terms.

DSP01

Finitely Supported L2- Optimal Kernels for Digital Signal Interpolation

In this project We derive a new family of unconstrained, finitely supported L2- optimal interpolation kernels HL(x), and compare their properties to the previously Known results. Our research demonstrates that L2 -optimal kernels provide superior

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DSP02

Minimum Euclidean Distance Based Pre coders for MIMO Systems Using Rectangular QAM Modulations

In this paper, an efficient pre coder is designed that maximizes the minimum Distance of two received vectors is studied. This criterion leads to a non diagonal Pre coding scheme and allows achieving a full diversity order. So we propose herein a general form of minimum Euclidean distance based Pre coders for all

DSP03

Global Stabilization of the Least Mean Fourth Algorithm

In this project fully deals with stability of the least mean fourth algorithm. This is achieved by normalizing the weight vector update term by a term that is fourth order in the regress or and second order in the estimation error.

DSP04

Derivation of the Bias of the Normalized Sample Covariance Matrix in a Heterogeneous Noise With Application to Low Rank STAP Filter

In this project, we have developed a low rank (LR) spatiotemporal adaptive

processing (STAP) filter when the disturbance is modeled as the sum of a

low rank spherically invariant random vector (SIRV) clutter and a zero mean

white Gaussian noise. This LR-STAP filter is built from the normalized

sample covariance matrix (NSCM) and exhibits good robustness properties

to secondary data contamination by target components.




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DSP05

Opportunistic Distributed Space- T i m e C o d i n g f o r D e c o d e - a n d - Forward Cooperation Systems

In this paper, we consider a decode-and- forward (DF) cooperation system consisting of two cooperative users in sending their information to a common destination, for which the distributed space-time coding (DSTC) is applied in an opportunistic manner, called opportunistic DSTC (O-DSTC), depending on whether the two users succeed in decoding each other's information or not.

DSP06

Fast Algorithms for Low-Delay SBR Filter banks in MPEG-4 AAC-ELD

In this paper, we propose fast algorithms for computing low delay SBR analysis and synthesis filter banks in AAC-ELD. Our algorithms are derived by establishing a mapping between SBR matrix operation in AAC-ELD and discrete cosine transform of type-IV (DCT-IV). We then further isolate leading factors in DCT-IV by converting it to type-II DCT (DCT-II), and merge these factors with factors in a window

DSP07

Interference Suppression Strategy for Cell-Edge Users in the Downlink

In this paper we focus on the cell-edge users whose performance is severely limited by the interfering signals of diverse rates and strengths. In contrast to the

suboptimal singleuser detection, we propose an interference suppression strategy based on a low complexity matched filter (MF) based receiver. This

proposed receiver exploits the structure of dominant interference in the detection process, instead of assuming it to be Gaussian and merging it in noise.

DSP08

Range Side lobe Reduction Filter Design for Binary Coded Pulse Compression System

In proposed system A new filter structure is introduced here to suppress the side lobes of radar signals that result from standard matched filtering. The proposed filter is applicable for any type of binary coding signals. Several techniques are used to calculate the filter coefficients such as Wiener filter technique, Lagrange multiplier method, and linear programming (LP) algorithm.

CM01

O n t h e M i n i m u m D i f f e r e n t i a l F e e d b a c k f o r T i m e - C o r r e l a t e d Rayleigh Block-Fading Channels

In this paper, we investigate the differential channel state information (CSI) feedback problem for a general multiple input multiple output (MIMO) system over time-correlated Rayleigh block-fading channels.

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CM02

O p t i m a l C h a n n e l a n d R e l a y Assignment in OFDM-Based Multi- R e l a y M u l t i - P a i r T w o - W a y Communication Networks

This paper considers a wireless relay network where multiple user pairs conduct bidirectional communications via multiple relays based on orthogonal frequency-div multiplexing (OFDM) transmission.

CM03

On Performance Improvement of Wireless Push Systems via Smart Antennas

In this paper, we propose an adaptive smart antenna based wireless push system where the beamwidth of each smart antenna is altered based on the current placement of clients within the system area.

CM04

Secure Communication in the Low-SNR Regime

In this project Energy efficiency is analyzed by finding the minimum bit energy required for secure and reliable communications, and the wideband slope.

CM05

On Optimal Front-End Filter for Single-User Detection in IR- UWB Systems

In this paper, we show that by employing a new front-end filter at the receiver, the non- whiteness of the MAI can be exploited to improve the performance of the single-user Detector.




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CM06

C o o p e ra t i v e S p e c t r u m S h a r i n g Protocol with Selective Relaying System

In this paper, we propose a two-phase protocol based on cooperative relaying for a secondary system to achieve spectrum access along with a selective relaying Primary system.

CM07

Diversity Gain and Outage Probability for MIMO Free-Space Optical Links with Misalignment

A novel statistical channel model for multiple-input multiple-output (MIMO) free-space optical (FSO) communication systems impaired by atmospheric and Misalignment fading is developed. A slow- fading channel model is considered and the outage probability is derived as a Performance measure.

CM08

Uncoordinated Beam forming for Cognitive Networks

In this paper, we propose jointly-optimized Beam forming algorithms for cognitive networks to maximize the achievable rates, where primary and cognitive users share the same spectrum and are equipped with Multiple antennas.

CM09

Asymptotic Capacity of Large Relay Networks with Conferencing Links

In this project, we consider a half- duplex large relay network, consisting of one source-destination pair and N relay nodes, each of which is connected with a subset of the other relays via signal-to-noise ratio (SNR)limited out- of-band conferencing links

CM10

Two Useful Bounds Related to Weighted Sums of Rayleigh Random Va r i a b l e s w i t h A p p l i c a t i o n s t o Interference Systems

In this letter, we derive an upper bound on the distribution of the ratio of a Rayleigh faded signal to a sum of weighted Rayleigh RVs plus a nonnegative constant, dubbed the generalized ratio(GR).

CM11

Performance Analysis over Slow Fading Channels of a Half- Duplex Single-Relay Protocol: Decode or Quantize and Forward

In this work, a static relaying protocol, called Decode or Quantize and Forward (DoQF), is introduced for half duplex single-relay networks, and its performance is studied in the context of communications over slow fading wireless channels.

CM12

Analytic Framework for the Effective Rate of MISO Fading Channels

In this paper, we pursue a detailed effective rate analysis of Nakagami-m, Rician and generalized-K multiple input single-output (MISO) fading channels by deriving new, analytical expressions for their exact effective rate.

CM13

Diversity-Multiplexing Tradeoff of MIMO Multiple-Access Systems with Successive Cancellation Receivers Having Imperfect Cancellation

In order to analyze the asymptotic performance of each user in a practical multiple-access system, we derive the per- user DMT considering error propagation due to imperfect cancellation of the SC process.

CM14

Diversity-Multiplexing-Delay Tradeoff in Selection Cooperation Networks with ARQ

In this paper, we combine the distributed selection cooperation protocols with ARQ mechanism to develop more powerful cooperative schemes for delay-tolerant wireless networks and analyze their performance from the perspective of diversity multiplexing-delay (D-M-D) tradeoff.




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CM15

An Analysis of the Bidirectional LMS Algorithm over Fast-Fading Channels

We analyze the tracking performance of the bidirectional LMS algorithm by deriving a novel step-size dependent steady-state MSE and optimal step-size expressions over fast frequency- selective time-varying channels.

CM16

SNR Performance Analysis of Rake Receiver for WCDMA

In this paper WCDMA was designed to meet such high data rate up to 3.84 MCPS and high bandwidth. The higher bandwidth causes a more channel distortion. It is modeled as a multi-path phase and amplitude distortion. Two major effects resulting from multipath propagation first, the signal energy may arrive at the receiver across clearly distinguishable time instants and second is fast fading.




Matlab project

Engineering

Transcript of Matlab project