Image Filtering. Problem! Noise is a problem, even in images! Gaussian NoiseSalt and Pepper Noise.
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22-Dec-2015 -
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Transcript of Image Filtering. Problem! Noise is a problem, even in images! Gaussian NoiseSalt and Pepper Noise.
Image Filtering
Problem!
• Noise is a problem, even in images!
Gaussian Noise Salt and Pepper Noise
What to do?
• Try to think of ways to remove the noise!
Gaussian Noise Salt and Pepper Noise
Smoothing
• The most obvious and easy way to remove the noise is by averaging.
• We can average pixels of a specific neighborhood by convolution with an averaging filter.
Smoothing
• Convolution is a simple mathematical operation.
Smoothing
• Smoothing using 3x3 mean filter.
Gaussian Noise Salt and Pepper Noise
Gaussian Filter
• Gaussian filter is more natural!
Gaussian Filter
• Gaussian mask with σ=1.
Gaussian Filter
• Gaussian filter is more natural!
Gaussian Noise Gaussian 5x5 Filter
Median Filter
• Median filter operation.
Median Filter
• Removing Salt and Pepper Noise using Median Filtering.
Salt and Pepper Noise 3x3 Median Filter
Edge Detection
• Finding the edges of images is a very useful tool.
• How do we find the edges in images?
Edge Detection
• Yes you’re right, derivatives!!
Edge Detection
• We use image filtering to find edges.• There are many masks: Prewitt, Sobel, Roberts
Roberts
Sobel
Prewitt
Edge Detection
• The gradient magnitude and gradient angle can be calculated as follows: