Image Analysis Using Multigrid Relaxation Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Variational Framework for Retinex
International Journal of Computer Vision
Recovering Shading from Color Images
ECCV '92 Proceedings of the Second European Conference on Computer Vision
A Perceptually Inspired Variational Framework for Color Enhancement
IEEE Transactions on Pattern Analysis and Machine Intelligence
Issues About Retinex Theory and Contrast Enhancement
International Journal of Computer Vision
The Split Bregman Method for L1-Regularized Problems
SIAM Journal on Imaging Sciences
A PDE formalization of retinex theory
IEEE Transactions on Image Processing
Retinex by two bilateral filters
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Properties and performance of a center/surround retinex
IEEE Transactions on Image Processing
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
Perceptual Color Correction Through Variational Techniques
IEEE Transactions on Image Processing
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Human vision has the ability to recognize color under varying illumination conditions. Retinex theory is introduced to explain how the human visual system perceives color. The main aim of this paper is to present a total variation model for Retinex. Different from the existing methods, we consider and study two important elements which include illumination and reflection. We assume spatial smoothness of the illumination and piecewise continuity of the reflection, where the total variation term is employed in the model. The existence of the solution of the model is shown in the paper. We employ a fast computation method to solve the proposed minimization problem. Numerical examples are presented to illustrate the effectiveness of the proposed model.