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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans ce rapport, nous proposons un codage d'image intégré avec et sans perte, qui peut être implémenté sur une seule architecture, basé sur la combinaison de la transformation en ondelettes sans perte (LWT) et de la prédiction multicanal sans perte (LLMP). Le LWT est appliqué pour diviser les signaux d'entrée en sous-bandes de fréquence sous forme de décomposition en bande d'octave, tandis que le LLMP est conçu comme une banque de filtres bidimensionnels non séparables comprenant la taille du pas de quantification et le décodage local pour améliorer les performances de codage dans le codage sans perte et dans le codage avec perte. . Ses coefficients de filtre sont déterminés pour minimiser le débit binaire total pour un codage sans perte, et la taille optimale du pas de quantification est appliquée pour maximiser le gain de codage avec perte. Le décodage local est appliqué pour éviter l'effet d'erreur de quantification. Les résultats expérimentaux confirment l'efficacité de notre méthode proposée.
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Somchart CHOKCHAITAM, Masahiro IWAHASHI, Pavol ZAVARSKY, Noriyoshi KAMBAYASHI, "Integrated Lossy and Lossless Image Coding Based on Lossless Wavelet Transform and Lossy-Lossless Multi-Channel Prediction" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 5, pp. 1326-1338, May 2001, doi: .
Abstract: In this report, we propose an integrated lossy and lossless image coding, which is possible to be implemented on one architecture, based on combination of lossless wavelet transform (LWT) and lossy-lossless multi-channel prediction (LLMP). The LWT is applied to divide input signals into frequency subbands as octave-band decomposition, whereas the LLMP is designed as a non-separable two-dimensional filter bank including quantization step size and local decoding to enhance coding performance in both lossless coding and lossy coding. Its filter coefficients are determined to minimize total bit rate for lossless coding, and the optimum quantization step size is applied to maximize lossy coding gain. The local decoding is applied to avoid quantization error effect. The experimental results confirm effectiveness of our proposed method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_5_1326/_p
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@ARTICLE{e84-a_5_1326,
author={Somchart CHOKCHAITAM, Masahiro IWAHASHI, Pavol ZAVARSKY, Noriyoshi KAMBAYASHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Integrated Lossy and Lossless Image Coding Based on Lossless Wavelet Transform and Lossy-Lossless Multi-Channel Prediction},
year={2001},
volume={E84-A},
number={5},
pages={1326-1338},
abstract={In this report, we propose an integrated lossy and lossless image coding, which is possible to be implemented on one architecture, based on combination of lossless wavelet transform (LWT) and lossy-lossless multi-channel prediction (LLMP). The LWT is applied to divide input signals into frequency subbands as octave-band decomposition, whereas the LLMP is designed as a non-separable two-dimensional filter bank including quantization step size and local decoding to enhance coding performance in both lossless coding and lossy coding. Its filter coefficients are determined to minimize total bit rate for lossless coding, and the optimum quantization step size is applied to maximize lossy coding gain. The local decoding is applied to avoid quantization error effect. The experimental results confirm effectiveness of our proposed method.},
keywords={},
doi={},
ISSN={},
month={May},}
Copier
TY - JOUR
TI - Integrated Lossy and Lossless Image Coding Based on Lossless Wavelet Transform and Lossy-Lossless Multi-Channel Prediction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1326
EP - 1338
AU - Somchart CHOKCHAITAM
AU - Masahiro IWAHASHI
AU - Pavol ZAVARSKY
AU - Noriyoshi KAMBAYASHI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2001
AB - In this report, we propose an integrated lossy and lossless image coding, which is possible to be implemented on one architecture, based on combination of lossless wavelet transform (LWT) and lossy-lossless multi-channel prediction (LLMP). The LWT is applied to divide input signals into frequency subbands as octave-band decomposition, whereas the LLMP is designed as a non-separable two-dimensional filter bank including quantization step size and local decoding to enhance coding performance in both lossless coding and lossy coding. Its filter coefficients are determined to minimize total bit rate for lossless coding, and the optimum quantization step size is applied to maximize lossy coding gain. The local decoding is applied to avoid quantization error effect. The experimental results confirm effectiveness of our proposed method.
ER -