Salt-and-pepper noise removal based on image sparse representation

Xiong-Liang Wang; Chun-Ling Wang; Ju-Bo Zhu; Dian-Nong Liang

doi:10.1117/1.3625416

1 September 2011 Salt-and-pepper noise removal based on image sparse representation

Xiong-Liang Wang, Chun-Ling Wang, Ju-Bo Zhu, Dian-Nong Liang

Author Affiliations +

Optical Engineering, Vol. 50, Issue 9, 097007 (September 2011). https://doi.org/10.1117/1.3625416

Abstract

A new method for removing salt-and-pepper noise from corrupted images is presented. We employ an efficient impulse noise detector based on the image sparse representation to detect the noisy pixels, and a local median filter to estimate the intensity values of noisy pixels. Experimental results demonstrate that the proposed method obtains better performance in terms of both qualitative and quantitative evaluations than those de-noising techniques such as the median filter, the peak-and-valley filter, the detail preserving filter, and the boundary discriminative noise detection filter, etc. Especially, the proposed method provides high detection rate and preserves the detail very well.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Xiong-Liang Wang, Chun-Ling Wang, Ju-Bo Zhu, and Dian-Nong Liang "Salt-and-pepper noise removal based on image sparse representation," Optical Engineering 50(9), 097007 (1 September 2011). https://doi.org/10.1117/1.3625416

Published: 1 September 2011

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