• DocumentCode
    1280387
  • Title

    Multiframe blocking-artifact reduction for transform-coded video

  • Author

    Gunturk, Bahadir K. ; Altunbasak, Yucel ; Mersereau, Russell M.

  • Author_Institution
    Center for Signal & Image Process., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    12
  • Issue
    4
  • fYear
    2002
  • fDate
    4/1/2002 12:00:00 AM
  • Firstpage
    276
  • Lastpage
    282
  • Abstract
    A major drawback of block-based still-image or video-compression methods at low rates is the visible block boundaries that are also known as blocking artifacts. Several methods have been proposed in the literature to reduce these artifacts. Most are single image methods, which do not distinguish between video and still images. However, video has a temporal dimension that can lead to better reconstruction if utilized effectively. We show how to combine information from multiple frames to reduce blocking artifacts. We derive constraint sets using motion between neighboring frames and quantization information that is available in the video bit stream. These multiframe constraint sets can be used to reduce blocking artifacts in an alternating-projections scheme. They can also be included in existing set-theoretic algorithms to improve their performance by narrowing down the feasibility set. Experimental results show the effectiveness of using these multiframe constraint sets
  • Keywords
    discrete cosine transforms; image reconstruction; image sequences; motion estimation; quantisation (signal); set theory; transform coding; video coding; DCT; POCS; alternating-projections scheme; block-based image compression; block-based video-compression; discrete cosine transform; feasibility set; motion estimation; multiframe blocking-artifact reduction; multiframe constraint sets; multiframe image reconstruction; projections onto convex sets; quantization information; set-theoretic algorithms; transform-coded video; video bit stream; visible block boundaries; Data mining; Discrete cosine transforms; Discrete transforms; Filtering; Image coding; Image reconstruction; Low pass filters; Quantization; Streaming media; Video sequences;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/76.999205
  • Filename
    999205