@inproceedings{77df08f6521740dd8d5b31c62440bab8,
title = "Specular reflection removal using local structural similarity and chromaticity consistency",
abstract = "This paper presents a technique that removes specular reflection in an image without sacrificing texture and chromaticity fidelity in diffuse regions of the image. This method is based on the observation that there exist structural similarity both in diffuse and specular components with original highlight image as well as strong local correlation in chromaticity in diffuse component. Local correlation in chromaticity regularizes chromaticity consistency. Structural similarity is measured using a gradient magnitude similarity map of a diffuse region. A diffuse component is estimated by solving local structure and chromaticity joint compensation problem. Experiment results show that the proposed method outperforms state-of-the-art specular reflection removal methods in terms of visual evaluation and the degree of information loss.",
keywords = "local chromaticity correlation, Specular reflection removal, structural similarity",
author = "Yongqiang Zhao and Qunnie Peng and Jize Xue and Kong, {Seong G.}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Image Processing, ICIP 2015 ; Conference date: 27-09-2015 Through 30-09-2015",
year = "2015",
month = dec,
day = "9",
doi = "10.1109/ICIP.2015.7351434",
language = "英语",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "3397--3401",
booktitle = "2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings",
}