Performance Analysis of Prediction Methods for Lossless Image Compression

Abstract

Performance analysis of several state-of-the-art prediction approaches is performed for lossless image compression. To provide this analysis special models of edges are presented: bound-oriented and gradient-oriented approaches. Several heuristic assumptions are proposed for considered intra-and inter-component predictors using determined edge models. Numerical evaluation using image test sets with various statistical features confirms obtained heuristic assumptions.

A Fast and Efficient Near-Lossless Image Compression using Zipper Transformation

“…Dictionary based compression is the third category and it deals with replacing strings of symbols with shorter codes. It must be noted that dictionary based schemes are widely used for text compression [17]. An example of a dictionary based algorithm is the well known ZIP package.…”