Chromaticity-based separation of reflection components in a single image

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 analy...

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Bibliographic Details
Published in:Pattern recognition 2008-08, Vol.41 (8), p.2461-2469
Main Authors: Shen, Hui-Liang, Zhang, Hong-Gang, Shao, Si-Jie, Xin, John H.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Chromaticity
Computer science
control theory
systems
Detection, estimation, filtering, equalization, prediction
Dichromatic reflection model
Diffuse reflection
Exact sciences and technology
Image processing
Image restoration
Information, signal and communications theory
Pattern recognition
Pattern recognition. Digital image processing. Computational geometry
Reflection components separation
Signal and communications theory
Signal processing
Signal, noise
Specular reflection
Telecommunications and information theory
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Summary: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.
ISSN:0031-3203
1873-5142
DOI:10.1016/j.patcog.2008.01.026