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A Novel Fractal Block Coding Method by Using New Shape-based Descriptor |
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PP: 849-855 |
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Author(s) |
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Hsiao-Wen Tin,
Shao-Wei Leu,
Hiroyuki Sasaki,
Shun-Hsyung Chang,
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Abstract |
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| The basic theory of Jacquin’s fractal block coding is to approximate a natural image by its partial subdivided parts, given that
the parts resemble the whole at either the same scale or different scales. The fact that self-similarity most commonly exists within an
entire natural image leads to the development of the proposed method that uses arc as the fractal descriptor, in which an arc commonly
exists within the entire natural image, named as Arc-Descriptor Fractal Coding (ADFC) method. In the ADFC, each range block is
approximated by using the selected arc-descriptor from an optimal pool. This paper experimentally demonstrates the ADFC method
on Java and the ADFC system is verified with 5 medical images. The experimental results indicate the ADFC method can encode and
decode the experimental images effectively. The PSNR of the images after encoding can reach 30 dB at limited cost while the CR is less
than 17%. The ADFC outperforms Jacquin’s method under the comparison of the number of search in matching process. We conclude
that the ADFC successfully encodes and decodes image in an efficient search during encoding phase without noticeable loss of image
quality. |
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