Title :
Adaptive linear prediction for lossless coding of greyscale images
Author :
Ye, Hua ; Deng, Guang ; Devlin, John C.
Author_Institution :
Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia
Abstract :
We present a new prediction method for lossless image coding. In this prediction scheme, the prediction for each pixel is formed by adaptively combining the predicted values from a set of least squares based linear predictors. The combination scheme follows the main idea of the Bayesian model averaging to reduce prediction error due to model uncertainty. A lossless image coding algorithm based on this prediction method is also presented. Experimental results show that the compression performance of this algorithm is better than that of the TMW 0.51. It is also close to that of a newly improved version of TMW
Keywords :
Bayes methods; adaptive codes; adaptive signal processing; data compression; image coding; least squares approximations; linear predictive coding; Bayesian model averaging; TMW; TMW 0.51; adaptive linear prediction; combination scheme; compression performance; greyscale images; least squares based linear predictors; lossless image coding algorithm; model uncertainty; pixel prediction; prediction error reduction; Bayesian methods; Bit rate; Ear; Entropy; Image coding; Least squares methods; Pixel; Prediction methods; Predictive models; Uncertainty;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.900911
