I. Kopilovic, D. Saupe, R. Hamzaoui. Progressive fractal coding. In Proc. IEEE ICIP-01, Pages 86-89, Thessaloniki, October 2001.
Progressive coding is an important feature of compression schemes. Wavelet coders are well suited for this purpose because the wavelet coefficients can be naturally ordered according to decreasing im-portance. Progressive fractal coding is feasible, but it was pro-posed only for hybrid fractal-wavelet schemes. We introduce a progressive fractal image coder in the spatial domain. A Lagrange optimization based on rate-distortion performance estimates de-termines an optimal ordering of the code bits. The optimality is in the sense that the reconstruction error is monotonically decreas-ing and minimum at intermediate rates. The decoder recovers this ordering without side information. As a side effect, our work mo-tivates improved bit allocation strategies for fractal coding
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{KoSaHa01,
Author = {Kopilovic, I. and Saupe, D. and Hamzaoui, R.},
Title = {Progressive fractal coding},
BookTitle = {Proc. IEEE ICIP-01},
Pages = {86--89},
Address = {Thessaloniki},
Month = {October},
Year = {2001}
}