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A code-reduction technique for an image enlargement by using a SOM-based fuzzy interpolation

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3 Author(s)
Aso, T. ; Graduate Sch. of Comput. Sci. & Syst. Eng., Kyushu Inst. of Technol., Iizuka, Japan ; Suetake, N. ; Yamakawa, T.

We propose a new image enlargement method employing a codebook-based fuzzy interpolation technique in order to realize simultaneous smoothing and sharpening in image enlargement. In the proposed method, codebooks are generated by using self-organizing maps, and codes of the codebooks are used to determine parameters of Gaussian membership functions in the fuzzy rules. Then, an enlargement of an image is achieved by a fuzzy inference. In this paper, experimental results show the performances of the proposed method superior to other typical image enlargement methods. The calculation time is reduced drastically in comparison with the previous codebook-based method which has been proposed by the authors.

Published in:

Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on  (Volume:3 )

Date of Conference:

18-22 Nov. 2002