Noriaki SUETAKE^*, Morihiko SAKANO¹, and Eiji UCHINO¹

Academic Domain of Natural Science, Graduate School of Science and Engineering, Yamaguchi University, 1677-1 Yoshida, Yamaguchi 753-8512, Japan
¹Division of Natural Science and Symbiosis, Graduate School of Science and Engineering, Yamaguchi University, 1677-1 Yoshida, Yamaguchi 753-8512, Japan

(Received August 23, 2007; Accepted November 17, 2007)

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 high-frequency 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 super-resolution 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.

Key words: super-resolution, image enlargement, codebook, self-similarlity

^*E-mail address: suetake@sci.yamaguchi-u.ac.jp