@inproceedings{29becd087c55404fb8445f1b95055499,
title = "Single image shadow removal via neighbor-based region relighting",
abstract = "In this paper we present a novel method for shadow removal in single images. For each shadow region we use a trained classifier to identify a neighboring lit region of the same material. Given a pair of lit-shadow regions we perform a region relighting transformation based on histogram matching of luminance values between the shadow region and the lit region. Then, we adjust the CIELAB a and b channels of the shadow region by adding constant offsets based on the difference of the median shadow and lit pixel values. We demonstrate that our approach produces results that outperform the state of the art by evaluating our method using a publicly available benchmark dataset.",
keywords = "Histogram Matching, Illumination, Recovery Image Processing, Removal, SVM, Shadow, Texture",
author = "\{Yago Vicente\}, \{Tom{\'a}s F.\} and Dimitris Samaras",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 13th European Conference on Computer Vision, ECCV 2014 ; Conference date: 06-09-2014 Through 12-09-2014",
year = "2015",
doi = "10.1007/978-3-319-16199-0\_22",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "309--320",
editor = "Carsten Rother and Lourdes Agapito and Bronstein, \{Michael M.\}",
booktitle = "Computer Vision - ECCV 2014 Workshops, Proceedings",
}