• DocumentCode
    2913841
  • Title

    Noise suppression in low-light images through joint denoising and demosaicing

  • Author

    Chatterjee, Priyam ; Joshi, Neel ; Kang, Sing Bing ; Matsushita, Yasuyuki

  • Author_Institution
    Univ. of California, Santa Cruz, CA, USA
  • fYear
    2011
  • fDate
    20-25 June 2011
  • Firstpage
    321
  • Lastpage
    328
  • Abstract
    We address the effects of noise in low-light images in this paper. Color images are usually captured by a sensor with a color filter array (CFA). This requires a demosaicing process to generate a full color image. The captured images typically have low signal-to-noise ratio, and the demosaicing step further corrupts the image, which we show to be the leading cause of visually objectionable random noise patterns (splotches). To avoid this problem, we propose a combined framework of denoising and demosaicing, where we use information about the image inferred in the denoising step to perform demosaicing. Our experiments show that such a framework results in sharper low-light images that are devoid of splotches and other noise artifacts.
  • Keywords
    image colour analysis; image denoising; image restoration; image segmentation; image sensors; optical filters; random noise; CFA; color filter array; color images; image demosaicing; image denoising; low-light image noise suppression; visually objectionable random noise pattern; Cameras; Colored noise; Image color analysis; Noise measurement; Noise reduction; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4577-0394-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2011.5995371
  • Filename
    5995371