Publikation: Fast code enhancement with local search for fractal image compression
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2000
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Proceedings 2000 International Conference on Image Processing ; vol. 3. Piscataway: IEEE, 2000, pp. 156-159. ISSN 1522-4880. ISBN 0-7803-6297-7. Available under: doi: 10.1109/ICIP.2000.899251
Zusammenfassung
Optimal fractal coding consists of finding, in a finite set of contractive affine mappings, one whose unique fixed point is closest to the original image. Optimal fractal coding is an NP- hard combinatorial optimization problem. Conventional coding is based on a greedy suboptimal algorithm known as collage coding. In a previous study, we proposed a local search algorithm that significantly improves on collage coding. However the algorithm, which requires the computation of many fixed points, is computationally expensive. In this paper we provide techniques that drastically reduce the time complexity of the algorithm.
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Fachgebiet (DDC)
004 Informatik
Schlagwörter
Fractals, Image coding, Image reconstruction, Terminology, Rate-distortion, Extraterrestrial measurements, Iterative decoding, PSNR, Partitioning algorithms, Acceleration
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Proceedings of 7th IEEE International Conference on Image Processing, 10. Sept. 2000 - 13. Sept. 2000, Vancouver, Canada
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HAMZAOUI, Raouf, Dietmar SAUPE, Michael HILLER, 2000. Fast code enhancement with local search for fractal image compression. Proceedings of 7th IEEE International Conference on Image Processing. Vancouver, Canada, 10. Sept. 2000 - 13. Sept. 2000. In: Proceedings 2000 International Conference on Image Processing ; vol. 3. Piscataway: IEEE, 2000, pp. 156-159. ISSN 1522-4880. ISBN 0-7803-6297-7. Available under: doi: 10.1109/ICIP.2000.899251BibTex
@inproceedings{Hamzaoui2000enhan-42224, year={2000}, doi={10.1109/ICIP.2000.899251}, title={Fast code enhancement with local search for fractal image compression}, isbn={0-7803-6297-7}, issn={1522-4880}, publisher={IEEE}, address={Piscataway}, booktitle={Proceedings 2000 International Conference on Image Processing ; vol. 3}, pages={156--159}, author={Hamzaoui, Raouf and Saupe, Dietmar and Hiller, Michael} }
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