• DocumentCode
    590290
  • Title

    Mode adaptive reference frame denoising for high fidelity compression in HEVC

  • Author

    Wige, Eugen ; Yammine, G. ; Schnurrer, Wolfgang ; Kaup, Andre

  • Author_Institution
    Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany
  • fYear
    2012
  • fDate
    27-30 Nov. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A new video coding standard, High Efficiency Video Coding (HEVC), is currently under development. In this paper we propose two relatively low-complex adaptive Wiener schemes for efficient P-frame coding of noisy videos with HEVC. In the proposed in-loop denoising framework the reference frame is noise filtered for P-frame prediction. The introduced algorithms adapt to the HEVC coding structure and thus can efficiently model the noise within the reference frame. The simulation results show that on the one hand considerable compression gains can be achieved using the proposed in-loop denoising framework. On the other hand the developed algorithms decrease the encoder runtime, but at the same time increase the decoder runtime.
  • Keywords
    data compression; decoding; filtering theory; image denoising; video coding; HEVC coding structure; P-frame coding; P-frame prediction; decoder runtime; encoder runtime; high efficiency video coding; high fidelity compression; in-loop denoising framework; low-complex adaptive Wiener scheme; mode adaptive reference frame denoising; noise filtering; noisy video; video coding standard; Complexity theory; Decoding; Encoding; Noise; Noise reduction; Runtime; Standards; HEVC; In-loop denoising; inter-frame prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2012 IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4405-0
  • Electronic_ISBN
    978-1-4673-4406-7
  • Type

    conf

  • DOI
    10.1109/VCIP.2012.6410777
  • Filename
    6410777