Abstract
In this paper, a new method for the identification and removal of random-valued impulse noise (RVIN) from images is proposed. We propose to identify the central pixel of the current sliding window as a noisy or noise free pixel based on the similar local statistics of the current window. Our proposed RVIN identifier works in an iterative way. Pixel identified as a noisy pixel is replaced by proposed minimum difference similar value in an optimal directions. The performance of the proposed method is evaluated on different test images and compared with state-of-the-art methods. Experimental results show that the proposed method cannot only identify the impulse noise efficiently, but can also preserve the detailed information of an image.
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Acknowledgments
The research work described in this paper was fully supported by the grants from the Natural Science Foundation of China (Project No. 61375045) and Beijing Natural Science Foundation(4142030). Prof. Ping Guo is the author to whom all correspondence should be addressed.
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Dawood, H., Dawood, H. & Guo, P. Removal of random-valued impulse noise by local statistics. Multimed Tools Appl 74, 11485–11498 (2015). https://doi.org/10.1007/s11042-014-2246-1
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DOI: https://doi.org/10.1007/s11042-014-2246-1