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
Nous proposons une amélioration de la qualité via une technique QESN (Side Bitstream Network) pour la compression d'images avec perte. Le QESN proposé utilise l'architecture réseau de compression d'image profonde pour produire un flux binaire permettant d'améliorer la qualité de la compression conventionnelle. Nous présentons également une fonction de perte qui optimise directement le débit binaire delta de Bjontegaard (BD-BR) en utilisant un modèle différentiable d'une courbe débit-distorsion. Les résultats expérimentaux montrent que QESN améliore le taux de 16.7 % dans le BD-BR par rapport à Better Portable Graphics.
Takahiro NARUKO
Hitachi, Ltd.
Hiroaki AKUTSU
Hitachi, Ltd.
Koki TSUBOTA
The University of Tokyo
Kiyoharu AIZAWA
The University of Tokyo
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Takahiro NARUKO, Hiroaki AKUTSU, Koki TSUBOTA, Kiyoharu AIZAWA, "Quality Enhancement of Conventional Compression with a Learned Side Bitstream" in IEICE TRANSACTIONS on Information,
vol. E106-D, no. 8, pp. 1296-1299, August 2023, doi: 10.1587/transinf.2022EDL8096.
Abstract: We propose Quality Enhancement via a Side bitstream Network (QESN) technique for lossy image compression. The proposed QESN utilizes the network architecture of deep image compression to produce a bitstream for enhancing the quality of conventional compression. We also present a loss function that directly optimizes the Bjontegaard delta bit rate (BD-BR) by using a differentiable model of a rate-distortion curve. Experimental results show that QESN improves the rate by 16.7% in the BD-BR compared to Better Portable Graphics.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2022EDL8096/_p
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@ARTICLE{e106-d_8_1296,
author={Takahiro NARUKO, Hiroaki AKUTSU, Koki TSUBOTA, Kiyoharu AIZAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Quality Enhancement of Conventional Compression with a Learned Side Bitstream},
year={2023},
volume={E106-D},
number={8},
pages={1296-1299},
abstract={We propose Quality Enhancement via a Side bitstream Network (QESN) technique for lossy image compression. The proposed QESN utilizes the network architecture of deep image compression to produce a bitstream for enhancing the quality of conventional compression. We also present a loss function that directly optimizes the Bjontegaard delta bit rate (BD-BR) by using a differentiable model of a rate-distortion curve. Experimental results show that QESN improves the rate by 16.7% in the BD-BR compared to Better Portable Graphics.},
keywords={},
doi={10.1587/transinf.2022EDL8096},
ISSN={1745-1361},
month={August},}
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TY - JOUR
TI - Quality Enhancement of Conventional Compression with a Learned Side Bitstream
T2 - IEICE TRANSACTIONS on Information
SP - 1296
EP - 1299
AU - Takahiro NARUKO
AU - Hiroaki AKUTSU
AU - Koki TSUBOTA
AU - Kiyoharu AIZAWA
PY - 2023
DO - 10.1587/transinf.2022EDL8096
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E106-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2023
AB - We propose Quality Enhancement via a Side bitstream Network (QESN) technique for lossy image compression. The proposed QESN utilizes the network architecture of deep image compression to produce a bitstream for enhancing the quality of conventional compression. We also present a loss function that directly optimizes the Bjontegaard delta bit rate (BD-BR) by using a differentiable model of a rate-distortion curve. Experimental results show that QESN improves the rate by 16.7% in the BD-BR compared to Better Portable Graphics.
ER -