Lossless and Near-Lossless Color Image Coding Using Edge Adaptive Quantization
Summary :
This paper proposes a unified coding algorithm for the lossless and near-lossless compression of still color images. The proposed unified color image coding scheme can control the Peak Signal-to-Noise Ratio (PSNR) of the reconstructed image while the level of distortion on the RGB plane is suppressed to within a preset magnitude. In order to control the PSNR, the distortion level is adaptively changed at each pixel. An adaptive quantizer to control the distortion is designed on the basis of psychovisual criteria. Finally, experiments on Super High Definition (SHD) images show the effectiveness of the proposed algorithm.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.4 pp.1064-1073
- Publication Date
- 2001/04/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Coding Theory
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Takayuki NAKACHI, Tatsuya FUJII, "Lossless and Near-Lossless Color Image Coding Using Edge Adaptive Quantization" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 4, pp. 1064-1073, April 2001, doi: .
Abstract: This paper proposes a unified coding algorithm for the lossless and near-lossless compression of still color images. The proposed unified color image coding scheme can control the Peak Signal-to-Noise Ratio (PSNR) of the reconstructed image while the level of distortion on the RGB plane is suppressed to within a preset magnitude. In order to control the PSNR, the distortion level is adaptively changed at each pixel. An adaptive quantizer to control the distortion is designed on the basis of psychovisual criteria. Finally, experiments on Super High Definition (SHD) images show the effectiveness of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_4_1064/_p
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@ARTICLE{e84-a_4_1064,
author={Takayuki NAKACHI, Tatsuya FUJII, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Lossless and Near-Lossless Color Image Coding Using Edge Adaptive Quantization},
year={2001},
volume={E84-A},
number={4},
pages={1064-1073},
abstract={This paper proposes a unified coding algorithm for the lossless and near-lossless compression of still color images. The proposed unified color image coding scheme can control the Peak Signal-to-Noise Ratio (PSNR) of the reconstructed image while the level of distortion on the RGB plane is suppressed to within a preset magnitude. In order to control the PSNR, the distortion level is adaptively changed at each pixel. An adaptive quantizer to control the distortion is designed on the basis of psychovisual criteria. Finally, experiments on Super High Definition (SHD) images show the effectiveness of the proposed algorithm.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - Lossless and Near-Lossless Color Image Coding Using Edge Adaptive Quantization
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1064
EP - 1073
AU - Takayuki NAKACHI
AU - Tatsuya FUJII
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2001
AB - This paper proposes a unified coding algorithm for the lossless and near-lossless compression of still color images. The proposed unified color image coding scheme can control the Peak Signal-to-Noise Ratio (PSNR) of the reconstructed image while the level of distortion on the RGB plane is suppressed to within a preset magnitude. In order to control the PSNR, the distortion level is adaptively changed at each pixel. An adaptive quantizer to control the distortion is designed on the basis of psychovisual criteria. Finally, experiments on Super High Definition (SHD) images show the effectiveness of the proposed algorithm.
ER -
English
