Salt and pepper noise removal in binary images using image block prior probabilities

TitleSalt and pepper noise removal in binary images using image block prior probabilities
Publication TypeJournal Article
Year of Publication2014
AuthorsPyatykh, S, Hesser, J
JournalJournal of Visual Communication and Image Representation
Volume25
Pagination748-754
Abstract

During scanning and transmission, images can be corrupted by salt and pepper noise, which negatively affects the quality of subsequent graphic vectorization or text recognition. In this paper, we present a new algorithm for salt and pepper noise suppression in binary images. The algorithm consists of the computation of block prior probabilities from training noise-free images; noise level estimation; and the maximum a posteriori probability estimation of each image block. Our experiments show that the proposed method performs significantly better than the state of the art techniques.

URLhttp://dx.doi.org/10.1016/j.jvcir.2014.02.001
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