A scheme for salt and pepper noise reduction on graylevel and color images

Nucharee Premchaiswadi, Sukanya Yimngam, Wichian Premchaiswadi · International Conference on Signal Processing · 2009

Noise in images can be found in almost scanning documents. The picture and text can be contaminated by additive noise from document scanning process or dirtiness in the document itself. This paper presents a scheme for Salt and Pepper noise reduction. This scheme combines the characteristics of an Applied kFill Algorithms and Median Filter by using window size of 3×3 and 5×5, depends on size of Salt and Pepper noise. The aim of this technique is to increase PSNR of picture images in the scanning documents. The experimental results show that the proposed scheme can remove Salt and Pepper noise better than the used of Applied kFill Algorithms and Median Filter. This scheme also can be apply in binary, gray scale, and color format of documents.

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