A Closed-Form Solution to Retinex with Nonlocal Texture Constraints

Authors:
Qi Zhao;Ping Tan;Qiang Dai;Li Shen;Enhua Wu;Stephen Lin
Affiliations:
National University of Singapore, Singapore;National University of Singapore, Singapore;Jilin University, Jilin;Institute for Infocomm Research, Singapore;Chinese Academy of Sciences, Beijing;Microsoft Research Asia, Beijing
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2012

Citing 0
Cited 2

Coherent intrinsic images from photo collections

ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Estimation of intrinsic image sequences from image+depth video

ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI

Quantified Score

Hi-index	0.14

Visualization

Abstract

We propose a method for intrinsic image decomposition based on retinex theory and texture analysis. While most previous methods approach this problem by analyzing local gradient properties, our technique additionally identifies distant pixels with the same reflectance through texture analysis, and uses these nonlocal reflectance constraints to significantly reduce ambiguity in decomposition. We formulate the decomposition problem as the minimization of a quadratic function which incorporates both the retinex constraint and our nonlocal texture constraint. This optimization can be solved in closed form with the standard conjugate gradient algorithm. Extensive experimentation with comparisons to previous techniques validate our method in terms of both decomposition accuracy and runtime efficiency.