@article{dccb99fa6f634b79a92650402a38fa2b,
title = "Retinex image enhancement via a learned dictionary",
abstract = "The main aim of this paper is to study image enhancement by using sparse and redundant representations of the reflectance component in the Retinex model over a learned dictionary. This approach is different from existing variational methods, and the advantage of this approach is that the reflectance component in the Retinex model can be represented with more details by the dictionary. A variational method based on the dynamic dictionaries is adopted here, where it changes with respect to iterations of the enhancement algorithm. Numerical examples are also reported to demonstrate that the proposed methods can provide better visual quality of the enhanced high-contrast images than the other variational methods, i.e., revealing more details in the low-light part.",
keywords = "Image enhancement, Learned dictionaries, Retinex, Sparse and redundant representations, Total variation",
author = "Huibin Chang and Ng, {Michael K.} and Wei Wang and Tieyong Zeng",
note = "Funding information: The authors would like to thank the discussion with Dr. A. Chien, in Department of Radiological Sciences, Ronald Reagan UCLA Medical Center and David Geffen School of Medicine at University of California, and Dr. W. Ma in Department of Mathematics, at University of California, for providing the codes of L1 methods to compare. We would like to thank Dr. G. Guarnieri and Dr. V. Vonikakis for their source codes.14,32 We also thank the reviewers for the valuable comments, which have greatly help us to improve the paper. Dr. H. Chang was supported by National Natural Science Foundation of China (Grant No. 11426165), and PhD Programme 52XB1304 of Tianjin Normal University. Dr. M. Ng was supported by RGC GRF Grant Number 202013 and HKBU FRG Grant Number FRG2/13-14/079. Dr. W. Wei was supported by National Natural Science Foundation of China (Grant No. 11201341). Dr. Zeng was supported in part by the National Science Foundation of China under Grant 11271049, in part by the Research Grants Council under Grant 211911 and Grant 12302714, and in part by the Research Fellowship Grant, Hong Kong Baptist University, Hong Kong",
year = "2015",
month = jan,
day = "1",
doi = "10.1117/1.OE.54.1.013107",
language = "English",
volume = "54",
journal = "Optical Engineering",
issn = "0091-3286",
publisher = "SPIE",
number = "1",
}