• DocumentCode
    3339841
  • Title

    A new approach for very dark video denoising and enhancement

  • Author

    Xu, Qing ; Jiang, Hailin ; Scopigno, Riccardo ; Sbert, Mateu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1185
  • Lastpage
    1188
  • Abstract
    The paper presents a novel three-stage algorithm for very-low-light video denoising and enhancement. The proposed technique invokes twice, in the first and the third stages, the well-known Non-Local Means (NLM) method for spatial and temporal denoising: it is well adapted to the application, leading to the definition of a novel NLM tool. The intermediate stage performs a custom tone adjustment specifically aimed at enlarging the dynamic range of very dark videos. The overall approach transforms very dark videos into more watchable ones, effectively reduces very high noise, and all in all, produces high quality restored image sequences outperforming the recent state-of-the-art results. Additionally, the first and third stages can be combined as a two-step filtering scheme for normal-light videos: the novel denoising solution achieves a heavy noise removal, while reducing motion blur artifacts and preserving image details.
  • Keywords
    image denoising; image enhancement; image restoration; image sequences; transforms; video signal processing; heavy noise removal; high quality restored image sequences; motion blur artifacts; nonlocal means; spatial denoising; temporal denoising; transforms; very dark video denoising; very dark video enhancement; very-low-light video denoising; Dynamic range; Image color analysis; Noise reduction; PSNR; Pixel; Runtime; Noise reduction; Non-local means; Tone mapping; Very low light video; Video signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5651838
  • Filename
    5651838