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Region-based fractal image compression using heuristic search

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2 Author(s)
Thomas, L. ; Dept. of Electr. & Electron. Eng., Univ. Coll. of Wales, Swansea, UK ; Deravi, F.

Presents work carried out on fractal (or attractor) image compression. The approach relies on the assumption that image redundancy can be efficiently exploited through self-transformability. The algorithms described utilize a novel region-based partition of the image that greatly increases the compression ratios achieved over traditional block-based partitionings. Due to the large search spaces involved, heuristic algorithms are used to construct these region-based transformations. Results for three different heuristic algorithms are given. The results show that the region-based system achieves almost double the compression ratio of the simple block-based system at a similar decompressed image quality. For the Lena image, compression ratios of 41:1 can be achieved at a PSNR of 26.56 dB

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Image Processing, IEEE Transactions on  (Volume:4 ,  Issue: 6 )