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When performing median filtering on grayscale images we rank the intensity values of pixels. How do we rank intensity values of pixels in color images as each pixel has 3 channels R,G,B. What is the formula.Thank You.
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Median filtering is a nonlinear method used to remove noise from images. It is widely used as it is very effective at removing noise while preserving edges. It is particularly effective at removing 'salt and pepper' type noise. pixel, over the entire image.
Definition:Color image filtering and enhancement refer to the process of noise reduction in the color image and enhancement of the visual quality of the image input. Noise encountered into the image data reduces the perceptual quality of an image and thus limits the performance of the imaging system.
Since the median value must actually be the value of one of the pixels in the neighborhood, the median filter does not create new unrealistic pixel values when the filter straddles an edge. For this reason the median filter is much better at preserving sharp edges than the mean filter.
The median filter is much better at preserving straight edge structure than Gaussian smoothing, but if the edge is curved then image degradation occurs. At corners, other two dimensional features and thin lines the median does not perform well with regard to structure preservation.
One of the options is vector median filter (VMF). See Fast Modified Vector Median Filter for detailed algorithm description and efficient implementation. One of the features of VMF is that it doesn't produce "false" colors - only the actual colors present in original image are used in filtered image.
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