Share Email Print
cover

Proceedings Paper

Lossless image compression based on recursive nonlinear interpolation
Author(s): Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Franco Lotti
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 30 October 1997
PDF: 6 pages
Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); doi: 10.1117/12.292767
Show Author Affiliations
Bruno Aiazzi, Nello Carrara Research Institute on Electromagnetic Waves (Italy)
Luciano Alparone, Univ. of Florence (Italy)
Stefano Baronti, Nello Carrara Research Institute on Electromagnetic Waves (Italy)
Franco Lotti, Nello Carrara Research Institute on Electromagnetic Waves (Italy)


Published in SPIE Proceedings Vol. 3164:
Applications of Digital Image Processing XX
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top