IEICE TRANSACTIONS on Information
Quality Enhancement of Conventional Compression with a Learned Side Bitstream
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E106-D No.8 pp.1296-1299
- Publication Date
- 2023/08/01
- Publicized
- 2023/04/25
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2022EDL8096
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Takahiro NARUKO
Hitachi, Ltd.
Hiroaki AKUTSU
Hitachi, Ltd.
Koki TSUBOTA
The University of Tokyo
Kiyoharu AIZAWA
The University of Tokyo
Keyword
Latest Issue
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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},}
Copy
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 -
English
