Evaluation of Fractal Image Coding (Special Section of Letters Selected from the 1994 IEICE Spring Conference)

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概要

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• Fractal image coding using iterated transformations compresses image data by exploiting the self-similarity of an image[1]. Its compression performance has already been discussed in [2] and several other papers. However the relation between the performance and the self-similarity remains unclear. In this paper, we evaluate fractal coding from the perspective of this relationship.

• 社団法人電子情報通信学会の論文
• 1994-11-25

著者

• HATORI Mitsutoshi

  Faculty of National Institute of Informatics

• Aizawa Kiyoharu

  Faculty Of Engineering The University Of Tokyo

• Ohno Hiroshi

  Faculty of Engineering, The University of Tokyo

• Hatori Mitsutoshi

  Faculty Of Engineering The University Of Tokyo

• Ohno Hiroshi

  Faculty Of Engineering The University Of Tokyo

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• Evaluation of Fractal Image Coding (Special Section of Letters Selected from the 1994 IEICE Spring Conference)
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