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1 December 2011 Shadow removal based on regional gray edge hypothesis
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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.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Ning Wang, Congyan Lang, and De Xu "Shadow removal based on regional gray edge hypothesis," Optical Engineering 50(12), 127001 (1 December 2011). https://doi.org/10.1117/1.3656749
Published: 1 December 2011
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