Quality Improvement of Noisy Images by Wiener Filters Designed in Color Space.

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Other Title
  • 色空間Ｗｉｅｎｅｒフィルタによるノイズ画像の画質改善

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Description

We propose a new Wiener filtering method that can improve the total quality of images corrupted by additive noise without degrading the sharpness caused by the noise reduction process. The Wiener filters are designed so as to minimize the mean square error between the original and restored images in RGB color space. The Wiener filters are calculated from the covariance matrices of the observed images on the basis of the assumptions that the original image and noise have no correlation, and the noise covariance can be estimated at system characterization stage or from a uniform density area in the image. The covariance matrices of the observed images are estimated from the neighboring pixels which are selected around the current pixel with a color classification technique. Restored images by computer simulations were evaluated both objectively and subjectively. As a result, we confirmed the proposed method is effective to improve the quality of noisy images compared with the conventional filters.

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Details 詳細情報について

  • CRID
    1390282681547578880
  • NII Article ID
    130004284367
  • DOI
    10.11454/photogrst1964.63.18
  • ISSN
    18845932
    03695662
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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