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Proceedings Paper

An L0 regularized framelet based model for high-density mixed-impulse noise and Gaussian noise removal
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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 new method for removing the mixed impulse noise and gaussian noise. The proposed method has two-phase, and the first phase is to identify candidate pixels existing impulse noise by using median filtering. The second phase processes the regions with impulse noise and leaves the others free with a mask generated by the previous phase. In order to protect the sharp image, we propose a L0 regularized framelet with a L1 fidelity term to recover the images. 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: 18 November 2019
PDF: 8 pages
Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 111871H (18 November 2019); doi: 10.1117/12.2537580
Show Author Affiliations
Huasong Chen, Huaiyin Institute of Technology (China)
Yasong Zhang, Huaiyin Institute of Technology (China)
Qin Ding, Huaiyin Institute of Technology (China)
Hao Qiang, Huaiyin Institute of Technology (China)
Yuanyuan Fan, Huaiyin Institute of Technology (China)

Published in SPIE Proceedings Vol. 11187:
Optoelectronic Imaging and Multimedia Technology VI
Qionghai Dai; Tsutomu Shimura; Zhenrong Zheng, Editor(s)

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