Shadow removal based on regional gray edge hypothesis

Wang, Ning; Lang, Congyan; Xu, De

doi:doi:10.1117/1.3656749

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Optical Engineering / Volume 50 / Issue 12 / Image Processing

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Shadow removal based on regional gray edge hypothesis

Opt. Eng. 50, 127001 (Nov 16, 2011); http://dx.doi.org/10.1117/1.3656749

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Abstract

References (20)

Ning Wang, Congyan Lang, and De Xu

Beijing Jiaotong University, School of Computer and Information Technology, Beijing, 100044, China

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.

History

Received Jun 16, 2011
Accepted Oct 06, 2011
Revised Aug 20, 2011
Published online Nov 16, 2011

Digital Object Identifier

http://dx.doi.org/10.1117/1.3656749

Citation

Ning Wang, Congyan Lang and De Xu, "Shadow removal based on regional gray edge hypothesis", Opt. Eng. 50, 127001 (Nov 16, 2011); http://dx.doi.org/10.1117/1.3656749