Title :
A nonlinear VQ-based predictive lossless image coder
Author :
Slyz, Marko J. ; Neuhoff, David L.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
A new lossless predictive image coder is introduced and tested. The predictions are made with a nonlinear, vector quantizer based, adaptive predictor. The prediction errors are losslessly compressed with an arithmetic coder that presumes they are Laplacian distributed with variances that are estimated during the prediction process, as in the approach of Howard and Vitter (1992)
Keywords :
adaptive systems; filtering and prediction theory; image coding; vector quantisation; Laplacian distribution; adaptive predictor; arithmetic coder; nonlinear VQ-based predictive lossless image coder; nonlinear vector quantizer; prediction errors; Arithmetic; Computer errors; Computer science; Decoding; Image coding; Image reconstruction; Laplace equations; Predictive coding; Propagation losses; Testing;
Conference_Titel :
Data Compression Conference, 1994. DCC '94. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-5637-9
DOI :
10.1109/DCC.1994.305938
