Improved Performance of Adaptive Length Recursive Weighted Median Filter in the presence of High Density of Positive and Negative Impulses in Images

Abstract

The problem considered is the design of an algorithm employing adaptive length recursive weighted median filter for removal of positive and negative impulses simultaneously in images. The weights for this algorithm are selected by optimization technique and the window length is determined by width of impulsive noise present in the input sample. The proposed algorithm achieves better clarity and significantly less Mean Square Error (MSE) than adaptive length recursive weighted median filter which remove positive and negative impulses separately.

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Cite this paper

@inproceedings{Maheshwari2005ImprovedPO, title={Improved Performance of Adaptive Length Recursive Weighted Median Filter in the presence of High Density of Positive and Negative Impulses in Images}, author={O. Uma Maheshwari}, year={2005} }