Abstract
In this paper, we proposed the efficient method of removing impulse noise preserving edge information. This method do its job for the pixel which is identified as impulse noise using mean shift segmentation instead of all pixel of image by the existing method. We found that impulse noise was cleaned efficiently by the proposed algorithm and the quality of image was improved by measuring PSNR in result image.
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© 2012 Springer-Verlag Berlin Heidelberg
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Kwon, YM., Lim, Mj. (2012). Selective Removal of Impulse Noise Preserving Edge Information. In: Kim, Th., Ma, J., Fang, Wc., Zhang, Y., Cuzzocrea, A. (eds) Computer Applications for Database, Education, and Ubiquitous Computing. EL DTA 2012 2012. Communications in Computer and Information Science, vol 352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35603-2_33
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DOI: https://doi.org/10.1007/978-3-642-35603-2_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35602-5
Online ISBN: 978-3-642-35603-2
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