Progressive fractal coding

Publikationstyp: Beitrag zu einer Konferenz
URI (zitierfähiger Link): http://nbn-resolving.de/urn:nbn:de:bsz:352-231451
Autor/innen: Kopilovic, Ivan; Saupe, Dietmar; Hamzaoui, Raouf
Erscheinungsjahr: 2001
Konferenz: 2001 International Conference on Image Processing, Thessaloniki, Greece
Erschienen in: Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205). - IEEE, 2001. - S. 86-89. - ISBN 0-7803-6725-1
DOI (zitierfähiger Link): https://dx.doi.org/10.1109/ICIP.2001.958959
Zusammenfassung:
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 importance. Progressive fractal coding is feasible, but it was proposed 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 determines an optimal ordering of the code bits. The optimality is in the sense that the reconstruction error is monotonically decreasing and minimum at intermediate rates. The decoder recovers this ordering without side information. As a side effect, our work motivates improved bit allocation strategies for fractal coding.
Fachgebiet (DDC): 004 Informatik
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KOPILOVIC, Ivan, Dietmar SAUPE, Raouf HAMZAOUI, 2001. Progressive fractal coding. 2001 International Conference on Image Processing. Thessaloniki, Greece. In: Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205). IEEE, pp. 86-89. ISBN 0-7803-6725-1. Available under: doi: 10.1109/ICIP.2001.958959

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