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Optical Engineering

Shadow removal based on regional gray edge hypothesis
Author(s): Ning Wang; Congyan Lang; De Xu
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Paper Abstract

Removing shadows from single color images is an important problem in computer vision. In this paper, we propose a novel shadow removal approach, which could effectively remove shadows from textured surfaces, yielding high quality shadow-free images. Our approach aims at calculating scale factors to cancel the effect of shadows. Based on the regional gray edge hypothesis, which assumes the average of the reflectance differences in a region is achromatic, the scale factors can be computed without the restrictions that former algorithms need. The experimental results show that the proposed algorithm is effective.

Paper Details

Date Published: 1 December 2011
PDF: 7 pages
Opt. Eng. 50(12) 127001 doi: 10.1117/1.3656749
Published in: Optical Engineering Volume 50, Issue 12
Show Author Affiliations
Ning Wang, Beijing Jiaotong Univ. (China)
Congyan Lang, Beijing Jiaotong Univ. (China)
De Xu, Beijing Jiaotong Univ. (China)

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