The generalized recursive interpolation (GRINT) algorithm was recently proposed and shown to be the most effective progressive technique for decorrelation of still images. 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 & Pearlman (s&P). Coding performances of the novel context-based coder (C-MRINT) are evaluated by comparisons with GRINT, and a variety of other multiresolution lossless methods, including the original scheme by S&P. The modified scheme outperforms all the other algorithms, including the latter, especially when dealing with medical images.
Lossless image compression based on recursive nonlinear interpolation
B Aiazzi;L Alparone;S Baronti;F Lotti
1997
Abstract
The generalized recursive interpolation (GRINT) algorithm was recently proposed and shown to be the most effective progressive technique for decorrelation of still images. 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 & Pearlman (s&P). Coding performances of the novel context-based coder (C-MRINT) are evaluated by comparisons with GRINT, and a variety of other multiresolution lossless methods, including the original scheme by S&P. The modified scheme outperforms all the other algorithms, including the latter, especially when dealing with medical images.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.