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2014 IEEE International Conference on Multimedia and Expo (ICME) (2014)
Chengdu, China
July 14, 2014 to July 18, 2014
ISBN: 978-1-4799-4761-4
pp: 1-6
Tao Yue , Department of Automation, Tsinghua University, Beijing 100084, China
Ming-Ting Sun , Department of Electrical Engineering, Seattle, 98105, U.S.A
Zhengyou Zhang , Microsoft Corp., Redmond, 98052, U.S.A
Jinli Suo , Department of Automation, Tsinghua University, Beijing 100084, China
Qionghai Dai , Department of Automation, Tsinghua University, Beijing 100084, China
ABSTRACT
Image acquisition in a low light environment requires long exposure to achieve acceptable signal-to-noise ratio, which however causes blurry effect. This paper addresses this problem by using a sharp near-infrared (NIR) image when the environment has sufficient NIR light. We assume that an RGB and NIR image pair has a linear mapping in a local area and that the mapping function is valid for both the blur and sharp image pairs. Using this property, we solve the sharp RGB images from a blurred RGB image and the corres ponding s harp NIR image. The effectiveness of the proposed algorithm is verified with both synthetic and real captured datasets.
INDEX TERMS
Cameras, Correlation coefficient, Image color analysis, Image sequences, Algorithm design and analysis, Artificial intelligence, Image restoration
CITATION

T. Yue, M. Sun, Z. Zhang, J. Suo and Q. Dai, "Deblur a blurred RGB image with a sharp NIR image through local linear mapping," 2014 IEEE International Conference on Multimedia and Expo (ICME), Chengdu, China, 2014, pp. 1-6.
doi:10.1109/ICME.2014.6890310
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