Adaptive Switching Rank-ordered Impulse Noise Filters: New Techniques, Results and Analysis

作者: Justin Varghese

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摘要: Abstract — Two new adaptive switching rank-ordered impulse noise filters are proposed for the restoration of digital images corrupted by salt & pepper noise: Adaptive Switching Median Filter (ASMF) and Rank order based (ARSMF). The ASMF implemented a two pass algorithm detection correction is an efficient filtering technique that works on to give consistent subjectiveness objectiveness at low or high ratios whereas computationally powerful ARSMF more suitable highly images. They identify noisy pixels replace them much valid intensity from smallest possible neighborhood keep up image fidelity large extent. Experimental results simulation analysis show algorithms perform far superior than many median techniques including top-ranking Filters, Progressive Filter, Filter. restored outputs free patchy effects, does not extend black white blocks in image.

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