An Adaptive Graininess Suppression Method for Restoration of Color Degraded Images

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  • Yoshimori Seiki
    Dept. of Media Technologies, Faculty of Eng., Nippon Bunri University
  • Mitsukura Yasue
    Tokyo University of Agriculture and Technology
  • Fukumi Minoru
    Dept. of Information Science & Inteligent Syst. Faculty of Eng. University of Tokushima
  • Akamatsu Norio
    Dept. of Information Science & Inteligent Syst. Faculty of Eng. University of Tokushima

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Other Title
  • カラー劣化画像復元のための適応的粒状抑制の一手法
  • カラー レッカ ガゾウ フクゲン ノ タメノ テキオウテキ リュウジョウ ヨクセイ ノ イチシュホウ

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Previous studies of image restoration for noise images were based on a mask processing. These conventional noise removal methods based on the mask processing have an issue of defining degradation to accompany a spacial processing. In this paper, we propose a graininess suppression method based on edge shape. In this method, we detect edges from an noise image and perform graininess suppression for this image based on edge information. On the edge detection, we execute an image transformation for an image that enables us to extract edge by making principal component images. Moreover, we use the canny edge detection operator with can detect a weak edge that relates to a real edge, and do not detect a lie edge. In the suppression process, we use Wiener filter that can restore an noise image without making a complete edge map and the original signal map. We demonstrated the effectiveness of the present method for the noise added images and confirmed it by means of computer simulation.

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