R. Hamzaoui, M. Müller, D. Saupe. Enhancing fractal image compression with vector quantization. In Proc. IEEE Digital Signal Processing Workshop, Loen, 1996.
A novel hybrid scheme combining fractal image compression with mean-removed shape-gain vector quantization is preented. The algorithm, based on a distance classification fractal coder with fixed cluster centers, decides whether to encode a range block by a cluster center or by a domain block. Our scheme is shown to improve the performance of conventional fractal coding in all its aspects. The ratedistortion curve is ameliorated, and both the encoding and the decoding are faster.
Download paper:
Adobe PDF
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
@InProceedings{HaMuSa96b,
Author = {Hamzaoui, R. and Müller, M. and Saupe, D.},
Title = {Enhancing fractal image compression with vector quantization},
BookTitle = {Proc. IEEE Digital Signal Processing Workshop},
Address = {Loen},
Month = {},
Year = {1996}
}