• DocumentCode
    2450176
  • Title

    Alleviating blocking artifacts via curve-fitting

  • Author

    Xu, Chenyu ; He, Renjie ; Mei, Shaohui ; He, Mingyi

  • Author_Institution
    Shaanxi Provincial Key Lab. of Inf. Acquisition & Process. (IAP), Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    513
  • Lastpage
    518
  • Abstract
    Image enhancement in discrete cosine transform (DCT) domain, which has been widely utilized, is affected by blocking artifacts seriously. Various effective methods for reducing such blocking artifacts are paid much attention. A novel method for reducing the artifacts is proposed in this paper; the novelty of this method is developing a curve-fitting algorithm to alleviate blocking artifacts and a least-square based technique is adopted to estimate the coefficients for curve fitting. As a result, the blocking artifacts can be significantly alleviated. In addition, the color and contrast of resulted image can be kept as that in the adjusted image (with blocking artifacts). Experiments on different images demonstrate that the proposed algorithm can provide better results than that of the popular CES algorithm[1] (Enhancement of color images by scaling the DCT coefficients) and has lower computational complexity.
  • Keywords
    computational complexity; curve fitting; discrete cosine transforms; image colour analysis; image enhancement; least squares approximations; DCT domain; blocking artifact alleviation; computational complexity; curve fitting algorithm; curve fitting coefficient estimation; discrete cosine transform domain; image color; image contrast; image enhancement; least square-based technique; Brightness; Computational complexity; Curve fitting; Discrete cosine transforms; Fitting; Least squares approximation; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376671
  • Filename
    6376671