RECENT DEVELOPMENTS IN CONTEXT-BASED PREDICTIVE TECHNIQUES FOR LOSSLESS IMAGE COMPRESSION

In this paper we describe some recent developments that have taken pla ce in context-based predictive coding, in response to the JPEG/JBIG co mmittee's recent call for proposals for a new international standard o n lossless compression of continuous-tone images, We describe the diff erent prediction techniques that were proposed and give a performance comparison, We describe the notion of context-based bias cancellation, which represents one of the key ideas that was proposed and incorpora ted in the final standard, We also describe the different error modell ing and entropy coding techniques that were proposed for encoding pred iction errors, the most important development here being an ingeniousl y simple and effective technique for adaptive Golomb-Rice coding, We c onclude with a short discussion on avenues for future research.