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Proceedings Paper

A structure decomposition-based method for restoring images corrupted by impulse noise
Author(s): Huasong Chen; Jiawei Liu; Qiansheng Feng; Yuanyuan Fan
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Paper Abstract

Images are often corrupted by impulse noise due to transmission errors, malfunctioning pixel elements in camera sensors, faulty memory locations in the imaging process. This paper proposes a two-phase method for impulse noise. In the first phase, a suitable noise is applied to identify the image pixels contaminated by noise. Then, in the second phase, based upon the information on the location of noise-free pixels, images are recovered by using a structure decomposition denoising method. In order to solve the denoising model, split bregman iteration combined with alternating minimization algorithm is utilized. Numerical results demonstrate that the proposed method is a significantly advance over several state-of-the-art techniques on restoration performance.

Paper Details

Date Published: 6 November 2018
PDF: 8 pages
Proc. SPIE 10817, Optoelectronic Imaging and Multimedia Technology V, 108170X (6 November 2018); doi: 10.1117/12.2500592
Show Author Affiliations
Huasong Chen, Huaiyin Institute of Technology (China)
Jiawei Liu, Huaiyin Institute of Technology (China)
Qiansheng Feng, Huaiyin Institute of Technology (China)
Yuanyuan Fan, Huaiyin Institute of Technology (China)

Published in SPIE Proceedings Vol. 10817:
Optoelectronic Imaging and Multimedia Technology V
Qionghai Dai; Tsutomu Shimura, Editor(s)

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