Abstract
Fractal image coding is an image compression method that utilizes the self-similarity which is inherent in a natural image. The picture quality of the restored image depends on the detection of adequate self-similarity in the original image. However, for the conventional technique that uses square blocks, it is troublesome to detect good self-similarity in edge parts that have steep changes in gradation values. Therefore, in this paper, the authors perform regional division for each block and use separate contractive transformations in each divided region to implement superior self-similarity detection. This technique can reproduce more apparent edges than the conventional technique that uses square blocks and the SN ratio is improved by 1 to 2 dB at the same bit rate. Also, although the coding performance of the conventional fractal image coding technique is worse than that of JPEG, the proposed technique shows nearly equivalent PSNR to JPEG in the vicinity of 2 to 3 bpp. © 2005 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 88(8): 1–8, 2005; Published online in Wiley InterScience (www.interscience.wiley. com). DOI 10.1002/ecjc.20153
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