Lossless image compression based on recursive nonlinear interpolation

Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Franco Lotti

doi:10.1117/12.292767

30 October 1997 Lossless image compression based on recursive nonlinear interpolation

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Franco Lotti

Proceedings Volume 3164, Applications of Digital Image Processing XX; (1997) https://doi.org/10.1117/12.292767
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, and Franco Lotti "Lossless image compression based on recursive nonlinear interpolation", Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); https://doi.org/10.1117/12.292767

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