Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21758
Title: Chromaticity-based separation of reflection components in a single image
Authors: Shen, HL
Zhang, HG
Shao, SJ
Xin, JH 
Keywords: Chromaticity
Dichromatic reflection model
Diffuse reflection
Image restoration
Reflection components separation
Specular reflection
Issue Date: 2008
Publisher: Elsevier
Source: Pattern recognition, 2008, v. 41, no. 8, p. 2461-2469 How to cite?
Journal: Pattern recognition 
Abstract: The separation of diffuse and specular reflection components, or equivalently specularity removal, is required in the fields of computer vision, object recognition and image synthesis. This paper proposes a simple and effective method to separate reflections in a color image based on the error analysis of chromaticity and appropriate selection of body color for each pixel. By solving the least-squares problem of the dichromatic reflection model, reflection separation is implemented on a single pixel level, without requiring image segmentation and even local interactions between neighboring pixels. Experimental evaluation indicates that the proposed method is effective and can deal with a wide variety of images.
URI: http://hdl.handle.net/10397/21758
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/j.patcog.2008.01.026
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