• DocumentCode
    1004003
  • Title

    Automatic enhancement of noisy images using objective evaluation of image quality

  • Author

    Russo, Fabrizio

  • Author_Institution
    Dipt. di Elettrotecnica, Elettronica & Informatica, Univ. of Trieste, Italy
  • Volume
    54
  • Issue
    4
  • fYear
    2005
  • Firstpage
    1600
  • Lastpage
    1606
  • Abstract
    A new method for automatic enhancement of noisy images is presented. The most relevant feature of the proposed approach is a novel procedure for automatic parameter tuning that takes into account the histograms of the edge gradients. Thus a satisfactory compromise between smoothing and sharpening can be automatically found according to the human perception. The proposed method is favorably compared to other techniques in the literature.
  • Keywords
    edge detection; image denoising; image enhancement; nonlinear filters; smoothing methods; automatic image enhancement; automatic parameter tuning; image denoising; image edge analysis; nonlinear filters; objective image quality evaluation; parameter estimation; Histograms; Humans; Image edge detection; Image enhancement; Image quality; Instruments; Noise cancellation; Nonlinear filters; Parameter estimation; Smoothing methods; Gaussian noise; image edge analysis; image enhancement; nonlinear filters; parameter estimation;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2005.851084
  • Filename
    1468575