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.
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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},}
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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 -