Dichromatic reflection separation from a single image

Authors:
Yun-Chung Chung;Shyang-Lih Chang;Shen Cherng;Sei-Wang Chen
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan;Department of Electronic Engineering, St. John's University, Taiwan;Department of Electrical Engineering, Cheng Shiu University, Taiwan;Department of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan
Venue:
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Year:
2007

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Abstract

A feature-based technique for separating specular and diffuse components of a single image is presented. In the proposed approach, Shafer's dichromatic reflection model is utilized, which assumed a light reflected from a surface point is linearly composed of diffuse and specular reflections. The major idea behind the proposed method is to classify the boundary pixels of the input image to be specular-related or diffuse-related. A fuzzy integral process is proposed to classify boundary pixels based on their local evidences, including specular and diffuse estimation information. Based on the classification result of boundary pixels, an integration method is evoked to reconstruct the specular and diffuse components of the input image, respectively. Unlike previous researches, the proposed method has no color segmentation and iterative operations. The experimental results have demonstrated that the proposed method can perform dichromatic reflectance separation effectively with small misadjustments and rapid convergence.