AN EFFECTIVE DE-INTERACING TECHNIQUE USING MOTION COMPENSATED INTERPOLATION
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Transcript of AN EFFECTIVE DE-INTERACING TECHNIQUE USING MOTION COMPENSATED INTERPOLATION
Sejong University, DMS Lab.Sejong University, DMS Lab.
Ki-Hun Han
AN EFFECTIVE DE-INTERACING TECHNIQUE USING AN EFFECTIVE DE-INTERACING TECHNIQUE USING MOTION COMPENSATED INTERPOLATIONMOTION COMPENSATED INTERPOLATION
IEEE TRANSACTION ON Consumer Electronics, AUG. 2000
You-Young Jung, Byung-Tae Choi, Yung-Jun Park and Sung-Jea Ko
2005. 05. 03
Sejong University, DMS Lab.Sejong University, DMS Lab.
< Abstract >< Abstract >
A new de-interlacing algorithm using motion compensated interpolation is suggested
First, motion estimation is performed between the same parity fields
Then the motion vector is refined in the interpolation field For further improvement, a five point median filter with temporal
emphasis is used to reduce the interpolation error caused by incorrect motion
Sejong University, DMS Lab.Sejong University, DMS Lab.
< < ⅠINTRODUCTIONⅠINTRODUCTION > >
Current TV systems has visual artifacts such as an edge flicker, an interline flicker and line crawling
De-Interlacing which is a picture format conversion form interlaced to progressive picture has been widely used to reduce the those artifacts
HDTV systems support the progressive scan but camera and TV system still support the interlaced scan
Various de-interlacing techniques
fixed vertical-temporal filtering[2], edge-based line average[4]-[5], motion adaptive techniques[6]-[7]
Sejong University, DMS Lab.Sejong University, DMS Lab.
< < ⅠINTRODUCTIONⅠINTRODUCTION > >
The basic concept of motion adaptive schemes is to select the appropriate interpolation method according to the motion of the image – spatial filtering in motion area and temporal filtering in static area
But, this approach is highly dependent on the accuracy of motion estimation
We propose a new de-interlacing scheme using the motion-compensated field interpolation and the field merging technique
Sejong University, DMS Lab.Sejong University, DMS Lab.
<< ⅡⅡDE-INTERLACING TECHNIQUESDE-INTERLACING TECHNIQUES >>
The ELA-based technique is the most popular since it exhibit good performance with small computational loadThe ELA algorithm uses the directional correlations between pixels to interpolate
Sejong University, DMS Lab.Sejong University, DMS Lab.
ELA-based technique introduces flicker at motion area
One of solutions is motion compensation for inter-field processing
Before motion estimation, the previously de-interlaced field is inserted in the current missing field
Motion Estimation
Three-point median filter
Sejong University, DMS Lab.Sejong University, DMS Lab.
Ⅲ Ⅲ PROPOSED MOTION COMPESATED DE-PROPOSED MOTION COMPESATED DE-INTERACINGINTERACING
fn-1, fn and fn+1 denote the previous, current and next field, respectively
Sejong University, DMS Lab.Sejong University, DMS Lab.
ⅢⅢ-A The Motion Compensated Field Interplation-A The Motion Compensated Field Interplation
Sejong University, DMS Lab.Sejong University, DMS Lab.
ⅢⅢ-A The Motion Compensated Field Interplation-A The Motion Compensated Field Interplation
It is often observed that inconsistencies or non-smoothness in the estimated vector field decreases the interpolated picture quality
We present the proposed smoothing scheme: Let B and Ni, where i=1,2,…,8 denote the current block and the eight nearest neighboring blocks around B in the interpolated field
Sejong University, DMS Lab.Sejong University, DMS Lab.
Ⅳ Ⅳ FURTHER IMPROVEMENTSFURTHER IMPROVEMENTS
The performance of the MCFI is satisfactory if the motion vectors are accurate and reliable. However, when the estimated motion vector is incorrect, the interpolated picture quality can be degraded
In this case, the intra-field interpolation using spatial information might be more reliable
The proposed scheme uses a five-point median filter for intra and inter-field interpolation
Sejong University, DMS Lab.Sejong University, DMS Lab.
Ⅴ Ⅴ EXPERIMENTAL RESULTSEXPERIMENTAL RESULTS
For motion estimation, the block size is 16x8, search range for initial motion estimation is ±8, and the search range for refinement of the initial motion vector is ±2
Sejong University, DMS Lab.Sejong University, DMS Lab.
Ⅴ Ⅴ EXPERIMENTAL RESULTSEXPERIMENTAL RESULTS
Sejong University, DMS Lab.Sejong University, DMS Lab.
Ⅴ Ⅴ EXPERIMENTAL RESULTSEXPERIMENTAL RESULTS
Performance of de-interlacing methods on Flower garden sequence