Bart95a

K. U. Barthel. Entropy constrained fractal image coding. In NATO ASI Conf. Fractal Image Encoding and Analysis, Trondheim, July 1995.

Abstract

In this paper we present an entropy constrained fractal coding scheme. In order to get high compression rates, previous fractal coders used hierarchical coding schemes with variable range block sizes. Our scheme uses constant range block sizes, but the complexity of the fractal transformations is adapte to the image contents. The entropy of the fractal code can be significantly reduced by introducing geometrical codebooks of variable size and a variable order luminance transformation. We propose a luminance transformation consisting of a unification of fractal and transform coding. With this transformation both inter- and intra- block redundancy of an image can be exploited to get higher coding gain. The coding results obtained with our new scheme are superior compared to conventional fractal and transform coding schemes.

BibTex Reference

@InProceedings{Bart95a,
   Author = {Barthel, K. U.},
   Title = {Entropy constrained fractal image coding},
   BookTitle = {NATO ASI Conf. Fractal Image Encoding and Analysis},
   Address = {Trondheim},
   Month = {July},
   Year = {1995}
}

Note on this paper

appears in Fractals, Vol. 5, Supplementary issue, April 1997