• DocumentCode
    1361440
  • Title

    Integration of Recursive Temporal LMMSE Denoising Filter Into Video Codec

  • Author

    Guo, Liwei ; Au, Oscar C. ; Ma, Mengyao ; Wong, Peter H W

  • Author_Institution
    Hong Kong Univ. of Sci. & Technol., Kowloon, China
  • Volume
    20
  • Issue
    2
  • fYear
    2010
  • Firstpage
    236
  • Lastpage
    249
  • Abstract
    The presence of noise can dramatically affect the efficiency of video compression systems. For performance improvement, most practical video compression systems adopt a denoising filter as a pre-processing module for the video encoder, or as a post-processing module for the video decoder, but the complexity introduced by denoising can be very high. This paper first presents a recursive temporal linear minimum mean squared error (LMMSE) filter for video denoising. Based on the analysis of the hybrid video compression process, two novel schemes are presented, one for video encoding and the other for video decoding, in which the proposed recursive temporal LMMSE filter is seamlessly integrated into the encoding and the decoding processes, respectively. For both of these two schemes, the denoising is implemented with nearly no extra computation introduced. Experimental results validate the effectiveness of the proposed schemes on encoding and decoding noisy video sequences.
  • Keywords
    data compression; filtering theory; image denoising; image sequences; least mean squares methods; video coding; preprocessing module; recursive temporal LMMSE denoising filter; recursive temporal linear minimum mean squared error; video codec; video compression systems; video encoder; video sequences; Minimum mean squared error; temporal filtering; video compression; video denoising;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2009.2031453
  • Filename
    5229293