A multichannel total variational Retinex model based on nonlocal differential operators

Ruixue Zhao; Huizhu Pan; Guojia Hou; Wanquan Liu; Baoxiang Huang; Shixiu Zheng

doi:10.1117/12.2303547

10 April 2018 A multichannel total variational Retinex model based on nonlocal differential operators

Ruixue Zhao, Huizhu Pan, Guojia Hou, Wanquan Liu, Baoxiang Huang, Shixiu Zheng

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106152E (2018) https://doi.org/10.1117/12.2303547
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

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.

Citation Download Citation

Ruixue Zhao, Huizhu Pan, Guojia Hou, Wanquan Liu, Baoxiang Huang, and Shixiu Zheng "A multichannel total variational Retinex model based on nonlocal differential operators", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152E (10 April 2018); https://doi.org/10.1117/12.2303547

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