A structure decomposition-based method for restoring images corrupted by impulse noise

Huasong Chen; Jiawei Liu; Qiansheng Feng; Yuanyuan Fan

doi:10.1117/12.2500592

6 November 2018 A structure decomposition-based method for restoring images corrupted by impulse noise

Huasong Chen, Jiawei Liu, Qiansheng Feng, Yuanyuan Fan

Proceedings Volume 10817, Optoelectronic Imaging and Multimedia Technology V; 108170X (2018) https://doi.org/10.1117/12.2500592
Event: SPIE/COS Photonics Asia, 2018, Beijing, China

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.

Citation Download Citation

Huasong Chen, Jiawei Liu, Qiansheng Feng, and Yuanyuan Fan "A structure decomposition-based method for restoring images corrupted by impulse noise", Proc. SPIE 10817, Optoelectronic Imaging and Multimedia Technology V, 108170X (6 November 2018); https://doi.org/10.1117/12.2500592

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