• DocumentCode
    1799126
  • Title

    Deblur a blurred RGB image with a sharp NIR image through local linear mapping

  • Author

    Tao Yue ; Ming-Ting Sun ; Zhengyou Zhang ; Jinli Suo ; Qionghai Dai

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2014
  • fDate
    14-18 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • 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.
  • Keywords
    image colour analysis; image restoration; NIR light; blurred RGB image; blurry effect; image acquisition; image deblurring; linear mapping; local linear mapping; mapping function; sharp NIR image; sharp near-infrared image; signal-to-noise ratio; Algorithm design and analysis; Artificial intelligence; Cameras; Correlation coefficient; Image color analysis; Image restoration; Image sequences; Image acquisition; Local Linear Transform; RGB/NIR images; deblurring; image enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2014 IEEE International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/ICME.2014.6890310
  • Filename
    6890310