Lossless image compression based on recursive nonlinear interpolation

Details Lossless image compression based on recursive nonlinear interpolation Lossless image compression based on recursive nonlinear interpolation

Oct 1997

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997spie.3164..413a&link_type=abstract

Proc. SPIE Vol. 3164, p. 413-418, Applications of Digital Image Processing XX, Andrew G. Tescher; Ed.

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The generalized recursive interpolation (GRINT) algorithm was recently proposed and shown to be the most effective progressive technique for decorrelation of still image. A nonlinear version of GRINT (MRINT) employs median filtering in a nonseparable fashion on a quincunx grid. The main advantage of both these schemes is that interpolation is performed from all error-free values, thereby reducing the variance of interpolation errors. MRINT is embedded in a simplified version of the context-based encoder by Said and Pearlman. Coding performances of the novel context-based coder are evaluated by comparisons with GRINT, and a variety of other multiresolution lossless methods, including the original scheme by Said and Pearlman. The modified scheme outperforms all the other algorithms, including the latter, especially when dealing with medical images.

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