Acceleration of Fractal Image Compression by Fast Nearest-Neighbor Search
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In this paper we investigate the effect of fast nearest neighbor search method on acceleration of fractal image compression. First we follow the Saupe1 encoding step of fractal image compression that uses the multi-dimensional nearest neighbor search in a projected space. Then we investigate performance of a method for finding the nearest vector called partial distortion elimination. We also propose some supplementary accelerating concepts. For all inspected methods the impact of the tolerance criterion for mean square error of block matching is examined.
2002 ◽
Vol 11
(6)
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pp. 605-615
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1997 ◽
Vol 6
(12)
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pp. 1688-1691
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2021 ◽
Vol 20
(3)
◽
pp. 705-725
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