Title :
A study of two new adaptive predictors for lossless image compression
Author :
Marusic, Slaven ; Deng, Guang
Author_Institution :
Sch. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia
Abstract :
Presented in this paper are two new adaptive prediction techniques for lossless, DPCM based, image compression. The first prediction scheme is derived from weighted median filter theory and extends on the median adaptive prediction (MAP) technique first presented by Martucci (1990). The second prediction technique is context modelling based and determines the optimum prediction by establishing the dominance of a particular predictor for each image context. The paper draws a direct comparison between MAP and the two new methods, and also between median predictor selection and context based predictor selection
Keywords :
adaptive codes; data compression; differential pulse code modulation; image coding; median filters; optimisation; prediction theory; DPCM; adaptive predictors; context based predictor selection; context modelling; image context; lossless image compression; median adaptive prediction technique; median predictor selection; optimum prediction; weighted median filter theory; Adaptive filters; Australia; Context modeling; Decorrelation; Filtering theory; Image coding; Predictive models; Proposals; Pulse compression methods; Pulse modulation;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.638745
