One-dimensional B–B polynomial and Hilbert scan for graylevel image coding
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摘要
Effectiveness of one-dimensional Bezier–Bernstein polynomial has been studied for compression of graylevel images. Both raster and Hilbert scan have been used for this purpose. Two different algorithms for one-dimensional approximation and encoding of Hilbert images provide evidence of better compression ratio compared to that for raster scanned images. Comparison with the result of an existing algorithm has also been performed to examine the effectiveness of our methods.
论文关键词：Bezier–Bernstein polynomial,Hilbert scan,Raster scan,Approximation,Compression,Huffman coding
论文评审过程：Received 4 October 2002, Accepted 12 September 2003, Available online 20 February 2004.
论文官网地址：https://doi.org/10.1016/j.patcog.2003.09.001
