A Code-reduction Technique for SOM-based Image Enlargement Employing Fuzzy Inference

• Aso Takashi

  Kyushu Institute of Technology

• Suetake Noriaki

  University of Tsukuba

• Yamakawa Takeshi

  Kyushu Institute of Technology

Abstract

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 (SOM). The codes of the generated codebooks are used to determine parameters of Gaussian membership functions in the fuzzy IF-THEN rules. Then, enlargement is achieved by a fuzzy inference. Experimental results of the proposed method show superior performances than other typical image enlargement methods. Calculation time is reduced drastically in comparison with the previous codebook-based method which has been proposed by the authors.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 123 (6), 1182-1183, 2003

  The Institute of Electrical Engineers of Japan

Keywords

• Self-organizing maps
• Fuzzy inference
• Image enlargement
• Codebook

Details

• CRID: 1390282679582444160
• NII Article ID: 130000089808
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.123.1182
• ISSN: 13488155
• ISSN: 03854221
• Web Site: http://www.jstage.jst.go.jp/article/ieejeiss/123/6/123_6_1182/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed