A multichannel total variational Retinex model based on nonlocal differential operators

Abstract

© 2018 SPIE. 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.