IEICE TRANSACTIONS on Fundamentals
Lossless Scalable Coding of Images via Lossless Multi-Channel Prediction
Summary :
A new lossless scalable coding based on a lossless wavelet transform (LWT) and a lossless multi-channel prediction (LMP) is proposed. A rough image can be expanded from a part of the bit stream for the use of progressive transmission. The LMP, a non-separable 2D filter bank, is optimized for an arbitrary input image signal so that remaining correlation of the band signals of the LWT can be utilized. Filter coefficients are optimized for each of input images under the lossless coding gain.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E83-A No.7 pp.1450-1457
- Publication Date
- 2000/07/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Image
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Masahiro IWAHASHI, Somchart CHOKCHAITAM, Narong BUABTHONG, Pavol ZAVARSKY, Noriyoshi KAMBAYASHI, "Lossless Scalable Coding of Images via Lossless Multi-Channel Prediction" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 7, pp. 1450-1457, July 2000, doi: .
Abstract: A new lossless scalable coding based on a lossless wavelet transform (LWT) and a lossless multi-channel prediction (LMP) is proposed. A rough image can be expanded from a part of the bit stream for the use of progressive transmission. The LMP, a non-separable 2D filter bank, is optimized for an arbitrary input image signal so that remaining correlation of the band signals of the LWT can be utilized. Filter coefficients are optimized for each of input images under the lossless coding gain.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_7_1450/_p
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@ARTICLE{e83-a_7_1450,
author={Masahiro IWAHASHI, Somchart CHOKCHAITAM, Narong BUABTHONG, Pavol ZAVARSKY, Noriyoshi KAMBAYASHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Lossless Scalable Coding of Images via Lossless Multi-Channel Prediction},
year={2000},
volume={E83-A},
number={7},
pages={1450-1457},
abstract={A new lossless scalable coding based on a lossless wavelet transform (LWT) and a lossless multi-channel prediction (LMP) is proposed. A rough image can be expanded from a part of the bit stream for the use of progressive transmission. The LMP, a non-separable 2D filter bank, is optimized for an arbitrary input image signal so that remaining correlation of the band signals of the LWT can be utilized. Filter coefficients are optimized for each of input images under the lossless coding gain.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - Lossless Scalable Coding of Images via Lossless Multi-Channel Prediction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1450
EP - 1457
AU - Masahiro IWAHASHI
AU - Somchart CHOKCHAITAM
AU - Narong BUABTHONG
AU - Pavol ZAVARSKY
AU - Noriyoshi KAMBAYASHI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2000
AB - A new lossless scalable coding based on a lossless wavelet transform (LWT) and a lossless multi-channel prediction (LMP) is proposed. A rough image can be expanded from a part of the bit stream for the use of progressive transmission. The LMP, a non-separable 2D filter bank, is optimized for an arbitrary input image signal so that remaining correlation of the band signals of the LWT can be utilized. Filter coefficients are optimized for each of input images under the lossless coding gain.
ER -
English
