predictors

Using differential color models in lossless RGB-images compression tasks

In the paper several methods of determination of optimal differential color model for RGB-images lossless compression task based on predictors use are considered. Such optimal differential model allows compression parameters to be improved. An algorithm for determination and using of differential color model with integer coefficients is shown. Experiments have shown that using of the proposed differential color models allows compression rate of images to be increased approximately for 4,5 %.

The use of predictors is in the process of making progress hierarchical context-independent compression of images without losses

Argued expedience, the method of round of pixels is resulted and the predictors for realization of progressing hierarchical context-independent compression of images without losses are offered . The results of application of proposed approaches for diminishing entropy of representing the set of ACT in the process of previous transformations are presented.