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 coresponding sharp NIR image. The effectiveness of the proposed algorithm is verified with both synthetic and real captured datasets.

Results

Bibtex

@inproceedings{yue2014rgbn,
  title={Deblur a blurred RGB image with a sharp NIR image through local linear mapping},
  author={Yue, Tao and Sun, Ming-Ting and Zhang, Zhengyou and Suo, Jinli and Dai, Qionghai},
  booktitle={IEEE International Conference on Multimedia and Expo (ICME)},
  year={2014},
  organization={IEEE}
}

Publications

• Tao Yue, Ming-Ting Sun, Zhengyou Zhang, Jinli Suo, and Qionghai Dai. Deblur a blurred RGB image with a sharp NIR image through local linear mapping. In International Conference on Multimedia and Expo(ICME), July 2014.