Sharpness preserving image enlargement by using self-decomposed codebook and Mahalanobis distance

  • Authors:

  • Hideaki Kawano;Noriaki Suetake;Byungki Cha;Takashi Aso

  • Affiliations:

  • Faculty of Engineering, Kyushu Institute of Technology, 1-1, Sensui-cho, Tobata-ku, Kitakyushu, Fukuoka 804-8550, Japan;Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi-shi, Yamaguchi 753-8512, Japan;Faculty of Management and Information Sciences, Kyushu Institute of Information Sciences, Dazaifu-shi, Fukuoka 818-0117, Japan;Faculty of Management and Information Sciences, Kyushu Institute of Information Sciences, Dazaifu-shi, Fukuoka 818-0117, Japan

  • Venue:
  • Image and Vision Computing
  • Year:
  • 2009

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Abstract

We propose an image enlargement method preserving perceptual sharpness, which is achieved by augmenting a low resolution image with high-frequency components from a given image itself. The estimation of high-frequency image components is performed by a codebook built by a decomposition of the given image, i.e. a self-decomposed codebook. The rational that is exploited in this approach is the shape-invariant properties of edges across scales. As a distance measure for matching from the codebook, we employ the Mahalanobis distance which is a local distance measure incorporating pixel correlation. The effectiveness of the proposed method is verified by some image enlargement experiments. Consequently, the experimental results show that the performance of the proposed method is superior to other conventional image enlargement methods objectively and subjectively.