Iterative Switching Filter for High Density Noise Removal
Jisha John, Ann Mary Jacob, Mekha Prasannan, Priyanka Suja Pradeep, Sruthi Ignatious · 2012
Abstract — This paper proposes an efficient filter for the restoration of images that are corrupted by high density of impulse noise. In this method an iterative switching filter is used that switches between two cases depending on the noise percentage in the input image. For low noise percentage it searches for the noise-free pixels within a small neighborhood. The noisy-pixel is then replaced with the average estimated from noise-free pixels. For high noise percentage weighted median is used to replace the corrupted pixels. The iterative process continues until all noisy-pixels of the corrupted image are filtered. The proposed filtering method is tested using standard test images and found to be more efficient than already existing high density noise removal techniques.