Title :
Lossless coding of still images using minimum-rate predictors
Author :
Matsuda, Ichiro ; Mori, Hirofumi ; Itoh, Susumu
Author_Institution :
Dept. of Electr. Eng., Sci. Univ. of Tokyo, Japan
Abstract :
We propose a novel method for designing linear predictors and apply it to a lossless image coding scheme. In general, the minimum mean square error (MMSE) is an important concept in image coding. However, predictors which are optimized on the basis of the MSE criterion are not necessarily optimum from a viewpoint of coding efficiency. Thereupon our method optimizes a predictor so that a cost function which represents the amount of information on prediction errors can have a minimum. Simulation results indicate that the proposed coding scheme is superior to the coding scheme which utilizes the conventional MMSE predictors in terms of coding efficiency
Keywords :
data compression; image coding; least mean squares methods; prediction theory; MMSE predictors; MSE criterion; coding efficiency; cost function; linear predictor design; linear quantizer; lossless image coding; minimum mean square error; minimum-rate predictors; optimized predictor; prediction errors; simulation results; still image coding; variable length codes; Biomedical imaging; Cost function; Design methodology; Digital images; Image coding; Mean square error methods; Medical simulation; Optimization methods; Predictive models; Remote sensing;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.900912
