• DocumentCode
    1491533
  • Title

    Derivation of prediction equations for blocking effect reduction

  • Author

    Lakhani, Gopal ; Zhong, Norman

  • Author_Institution
    Dept. of Comput. Sci., Texas Tech. Univ., Lubbock, TX, USA
  • Volume
    9
  • Issue
    3
  • fYear
    1999
  • fDate
    4/1/1999 12:00:00 AM
  • Firstpage
    415
  • Lastpage
    418
  • Abstract
    A heuristic is proposed by Minami and Zakhor (see IEEE Trans. Circuits Syst. Video Technol., vol.5, p.74-82, 1995) to solve an optimization problem on reduction of blocking effects seen in low bit-rate coded images. This paper presents a novel solution to the same problem. Not only does it compute the global minimum, but its computational complexity is significantly smaller as well. The solution is stated in the form of prediction equations for computation of certain discrete cosine transform coefficients-an approach adapted by JPEG for its block-smoothing method. Experimental results show that our solution outperforms the JPEG´s method
  • Keywords
    computational complexity; discrete cosine transforms; image coding; optimisation; prediction theory; smoothing methods; transform coding; DCT; JPEG; block-smoothing method; blocking effect reduction; computational complexity; discrete cosine transform coefficients; experimental results; global minimum; heuristic; low bit-rate coded images; mean squared difference of slopes; optimization problem; prediction equations; Computational complexity; Decoding; Discrete cosine transforms; Equations; Filtering; Low pass filters; Quadratic programming; Quantization; Smoothing methods; Transform coding;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/76.754770
  • Filename
    754770