Iterative Adaptive Switching Median Filter
Krishnan Nallaperumal, Justin Varghese, S. Saudia, Sangeetha Annam, Priyan Malarvizhi Kumar · 2006
The paper presents an improved median filter for salt & pepper impulse noise removal. This computationally efficient filtering technique is implemented as a two pass algorithm: in the first pass, identification of corrupted pixels that are to be filtered are perfectly detected into a flag image using an iterative fixed sized smaller window approach; in the second pass, using the detected flag image, the pixels to be modified are identified and corrected by a valid median. Experimental results have shown that the proposed algorithm performs far more superior than many of the median filtering techniques reported in terms of retaining the fidelity of the image highly corrupted by impulse noises even to the tune of ninety percent impulse noise. The proposed algorithm is free from patchy effects, does not extend black or white blocks in the image as has been found in many other adaptive median based techniques and is very effective in cases when images are corrupted with large percentage of impulse noises. This algorithm works very well for images with lower percentage of impulse noises