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A multichannel total variational Retinex model based on nonlocal differential operators
Author(s): Ruixue Zhao; Huizhu Pan; Guojia Hou; Wanquan Liu; Baoxiang Huang; Shixiu Zheng
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Paper Abstract

Characteristics of restoration image such as smoothness, edge and texture, can be better maintained using non-local differential operator. In this paper, we present a nonlocal multichannel total variational (MTV) model for Retinex theory, which can be solved by a fast computational approach based on the alternating direction method of multipliers (ADMM). Experiential results show that our nonlocal MTV method has a good performance on contrast enhancement, non-uniform illumination elimination, noise suppression, and especially for texture preserving. Furthermore, several variational Retinex method are compared to prove that our proposed method achieves more accurate and fewer iterations for recovering the reflectance.

Paper Details

Date Published: 10 April 2018
PDF: 8 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152E (10 April 2018); doi: 10.1117/12.2303547
Show Author Affiliations
Ruixue Zhao, Qingdao Univ. (China)
Huizhu Pan, KingKen Technology Company Ltd. (China)
Guojia Hou, Qingdao Univ. (China)
Wanquan Liu, Curtin Univ. (Australia)
Baoxiang Huang, Qingdao Univ. (China)
Shixiu Zheng, Qingdao Univ. (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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