The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Un nouvel algorithme est présenté pour récupérer les blocs perdus avec la perte de cellules lors de la transmission ATM des images codées par le codage fractal de Jacquin. La technique clé du BLRA (algorithme de récupération de perte de bloc) proposé est une extrapolation fractale qui estime les pixels d'un bloc perdu en utilisant les paramètres de cartographie contractive d'un bloc de distance homogène au bloc perdu. Le BLRA proposé est appliqué aux blocs perdus lors de l'itération de décodage.
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Sang Hyun KIM, Youn Ho NOH, Ick Hoon JANG, Nam Chul KIM, "Block Loss Recovery Using Fractal Extrapolation for Fractal-Coded Images" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 6, pp. 1052-1053, June 2002, doi: .
Abstract: A new algorithm is presented for recovering the blocks lost with the cell loss in the ATM transmission of the images coded by Jacquin's fractal coding. The key technique of the proposed BLRA (block loss recovery algorithm) is a fractal extrapolation that estimates the pixels in a lost block by using the contractive mapping parameters of a range block homogeneous to the lost block. The proposed BLRA is applied to the lost blocks in the iteration of decoding.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_6_1052/_p
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@ARTICLE{e85-d_6_1052,
author={Sang Hyun KIM, Youn Ho NOH, Ick Hoon JANG, Nam Chul KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Block Loss Recovery Using Fractal Extrapolation for Fractal-Coded Images},
year={2002},
volume={E85-D},
number={6},
pages={1052-1053},
abstract={A new algorithm is presented for recovering the blocks lost with the cell loss in the ATM transmission of the images coded by Jacquin's fractal coding. The key technique of the proposed BLRA (block loss recovery algorithm) is a fractal extrapolation that estimates the pixels in a lost block by using the contractive mapping parameters of a range block homogeneous to the lost block. The proposed BLRA is applied to the lost blocks in the iteration of decoding.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - Block Loss Recovery Using Fractal Extrapolation for Fractal-Coded Images
T2 - IEICE TRANSACTIONS on Information
SP - 1052
EP - 1053
AU - Sang Hyun KIM
AU - Youn Ho NOH
AU - Ick Hoon JANG
AU - Nam Chul KIM
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2002
AB - A new algorithm is presented for recovering the blocks lost with the cell loss in the ATM transmission of the images coded by Jacquin's fractal coding. The key technique of the proposed BLRA (block loss recovery algorithm) is a fractal extrapolation that estimates the pixels in a lost block by using the contractive mapping parameters of a range block homogeneous to the lost block. The proposed BLRA is applied to the lost blocks in the iteration of decoding.
ER -