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Erschienen in:
2011 | OriginalPaper | Buchkapitel
A Denoising Approach for Salt and Pepper Noise Corrupted Image at Higher Noise Density
verfasst von : Debika Dey, Samanwita Laha, Shalini Chowdhury, Subhojit Sarker
Erschienen in: Advances in Digital Image Processing and Information Technology
Verlag: Springer Berlin Heidelberg
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Image restoration and noise reduction is an eminent problem in almost all image processing applications. Numerous image restoration methods have been developed, each of which has its own advantages and limitation. This paper proposes a novel approach for removal of salt and pepper noise using a two stage process, in which the noisy image is first subjected to an adaptive median filter and then its output is further denoised by applying it to a new patch based non- local recovery paradigm. The Non-Local means filter uses the redundancy of information in the image under study to remove the noise. The statistical results of simulations are done using MATLAB and the obtained denoised images are quantified using various performance metrics.