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Specular Reflection Separation with Hue Constraint |
ZHANG Zhen1,2,3, REN Weihong4, TIAN Jiandong1,2, TANG Yandong1,2 |
1. Robotics Laboratory, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016 2. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169 3. University of Chinese Academy of Sciences, Beijing 100049 4. School of Mechanical Engineering and Automation, Harbin Institute of Technology(Shenzhen), Shenzhen 518055 |
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Abstract The hue information in color images is not easily susceptible to inference from specular reflection. Grounded on this fact, an effective algorithm of specular reflection separation with hue constraint is proposed. Images are clustered by its hue information. The fusion coefficient of diffuse reflection and specular reflection is obtained by calculating the pixel chromaticity and the illumination chromaticity. The bilateral filter is conducted on fusion coefficients to eliminate the noise impact. A diffuse reflection image is acquired according to the calculated specular reflection coefficients. The experimental results show that the proposed method removes specular reflection effectively with the details and edge information of the image retained and it achieves satisfactory visual effects in processing natural highlight pictures without ground truth.
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Received: 15 March 2021
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Fund:National Natural Science Foundation of China(No.U2013210,61821005) |
Corresponding Authors:
TIAN Jiandong, Ph.D., professor. His research interests include pattern recognition and robot vision.
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About author:: ZHANG Zhen, Ph.D. candidate. His research interests include image processing and pattern recognition.REN Weihong, Ph.D., assistant profe-ssor. His research interests include image processing and pattern recognition.TANG Yandong, Ph.D., professor. His research interests include pattern recognition and robot vision. |
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