Image super-resolution based on local self-similarity |
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Authors: | Noriaki Suetake Morihiko Sakano Eiji Uchino |
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Institution: | (1) Academic Domain of Natural Science, Graduate School of Science and Engineering, Yamaguchi University, 1677-1 Yoshida, Yamaguchi 753-8512, Japan;(2) Division of Natural Science and Symbiosis, Graduate School of Science and Engineering, Yamaguchi University, 1677-1 Yoshida, Yamaguchi 753-8512, Japan |
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Abstract: | A new image super-resolution method based on a codebook mapping is proposed. The codebook mapping represents the internal
relationship between low-and high-frequency image components, and is used for the estimation of highfrequency image components
lost in the sampling process. In the proposed method, codebooks are first generated by the low-and high-frequency image components
of the original image itself that is to be processed. Then, a resultant superresolution image, that is, an enlarged image,
is obtained by combining the estimated high-frequency image components with the low-frequency ones obtained by a typical interpolation-based
method. The effectiveness of the proposed method is verified by comparing it against some conventional methods. |
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Keywords: | super-resolution image enlargement codebook self-similarlity |
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