Publikation: Rate-distortion unequal error protection for fractal image codes
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Fractal image codes are very sensitive to bit errors because the decoding of a block is dependent not only on the code information associated to this block but also on the code information associated to other blocks. We analyze the sensitivity of a fractal code to transmission errors in a binary symmetric channel. We provide two rate-distortion unequal error protection techniques that allocate the code bits to protection classes in a nearly optimal way. We give an implementation for BCH and RCPC channel codes and show that RCPC codes are preferable. For a binary symmetric channel bit error probability of 0.1 and a total code rate of 0.5 bpp, the loss in reconstruction quality with our best implementation was about 3.9 dB for the 512 x 512 Lenna image, yielding a PSNR of 26.6 dB.
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STANKOVIC, Vladimir, Raouf HAMZAOUI, Dietmar SAUPE, 2001. Rate-distortion unequal error protection for fractal image codes. 2001 International Conference on Image Processing. Thessaloniki, Greece. In: Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205). IEEE, 2001, pp. 98-101. ISBN 0-7803-6725-1. Available under: doi: 10.1109/ICIP.2001.958962BibTex
@inproceedings{Stankovic2001Rated-23143,
year={2001},
doi={10.1109/ICIP.2001.958962},
title={Rate-distortion unequal error protection for fractal image codes},
isbn={0-7803-6725-1},
publisher={IEEE},
booktitle={Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)},
pages={98--101},
author={Stankovic, Vladimir and Hamzaoui, Raouf and Saupe, Dietmar}
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<dcterms:bibliographicCitation>Proceedings - 2001 International Conference on Image Processing, ICIP : 7 - 10 October 2001, Makedonia Palace Hotel, Thessaloniki, Greece ; vol. 1/ sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. - Piscataway, NJ : IEEE Operations Center, 2001. - S. 98-101. - ISBN 0-7803-6725-1</dcterms:bibliographicCitation>
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<dcterms:abstract xml:lang="eng">Fractal image codes are very sensitive to bit errors because the decoding of a block is dependent not only on the code information associated to this block but also on the code information associated to other blocks. We analyze the sensitivity of a fractal code to transmission errors in a binary symmetric channel. We provide two rate-distortion unequal error protection techniques that allocate the code bits to protection classes in a nearly optimal way. We give an implementation for BCH and RCPC channel codes and show that RCPC codes are preferable. For a binary symmetric channel bit error probability of 0.1 and a total code rate of 0.5 bpp, the loss in reconstruction quality with our best implementation was about 3.9 dB for the 512 x 512 Lenna image, yielding a PSNR of 26.6 dB.</dcterms:abstract>
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