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Multi-Layered DP Quantization Algorithm
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Summary :
Designing an optimum quantizer can be treated as the optimization problem of finding the quantization indices that minimize the quantization error. One solution to the optimization problem, DP quantization, is based on dynamic programming. Some applications, such as bit-depth scalable codec and tone mapping, require the construction of multiple quantizers with different quantization levels, for example, from 12bit/channel to 10bit/channel and 8bit/channel. Unfortunately, the above mentioned DP quantization optimizes the quantizer for just one quantization level. That is, it is unable to simultaneously optimize multiple quantizers. Therefore, when DP quantization is used to design multiple quantizers, there are many redundant computations in the optimization process. This paper proposes an extended DP quantization with a complexity reduction algorithm for the optimal design of multiple quantizers. Experiments show that the proposed algorithm reduces complexity by 20.8%, on average, compared to conventional DP quantization.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E103-A No.12 pp.1552-1561
- Publication Date
- 2020/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2020SMP0028
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Image
Authors
Yukihiro BANDOH
NTT Corporation
Seishi TAKAMURA
NTT Corporation
Hideaki KIMATA
NTT Corporation
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Yukihiro BANDOH, Seishi TAKAMURA, Hideaki KIMATA, "Multi-Layered DP Quantization Algorithm" in IEICE TRANSACTIONS on Fundamentals,
vol. E103-A, no. 12, pp. 1552-1561, December 2020, doi: 10.1587/transfun.2020SMP0028.
Abstract: Designing an optimum quantizer can be treated as the optimization problem of finding the quantization indices that minimize the quantization error. One solution to the optimization problem, DP quantization, is based on dynamic programming. Some applications, such as bit-depth scalable codec and tone mapping, require the construction of multiple quantizers with different quantization levels, for example, from 12bit/channel to 10bit/channel and 8bit/channel. Unfortunately, the above mentioned DP quantization optimizes the quantizer for just one quantization level. That is, it is unable to simultaneously optimize multiple quantizers. Therefore, when DP quantization is used to design multiple quantizers, there are many redundant computations in the optimization process. This paper proposes an extended DP quantization with a complexity reduction algorithm for the optimal design of multiple quantizers. Experiments show that the proposed algorithm reduces complexity by 20.8%, on average, compared to conventional DP quantization.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020SMP0028/_p
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@ARTICLE{e103-a_12_1552,
author={Yukihiro BANDOH, Seishi TAKAMURA, Hideaki KIMATA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Multi-Layered DP Quantization Algorithm},
year={2020},
volume={E103-A},
number={12},
pages={1552-1561},
abstract={Designing an optimum quantizer can be treated as the optimization problem of finding the quantization indices that minimize the quantization error. One solution to the optimization problem, DP quantization, is based on dynamic programming. Some applications, such as bit-depth scalable codec and tone mapping, require the construction of multiple quantizers with different quantization levels, for example, from 12bit/channel to 10bit/channel and 8bit/channel. Unfortunately, the above mentioned DP quantization optimizes the quantizer for just one quantization level. That is, it is unable to simultaneously optimize multiple quantizers. Therefore, when DP quantization is used to design multiple quantizers, there are many redundant computations in the optimization process. This paper proposes an extended DP quantization with a complexity reduction algorithm for the optimal design of multiple quantizers. Experiments show that the proposed algorithm reduces complexity by 20.8%, on average, compared to conventional DP quantization.},
keywords={},
doi={10.1587/transfun.2020SMP0028},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - Multi-Layered DP Quantization Algorithm
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1552
EP - 1561
AU - Yukihiro BANDOH
AU - Seishi TAKAMURA
AU - Hideaki KIMATA
PY - 2020
DO - 10.1587/transfun.2020SMP0028
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E103-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2020
AB - Designing an optimum quantizer can be treated as the optimization problem of finding the quantization indices that minimize the quantization error. One solution to the optimization problem, DP quantization, is based on dynamic programming. Some applications, such as bit-depth scalable codec and tone mapping, require the construction of multiple quantizers with different quantization levels, for example, from 12bit/channel to 10bit/channel and 8bit/channel. Unfortunately, the above mentioned DP quantization optimizes the quantizer for just one quantization level. That is, it is unable to simultaneously optimize multiple quantizers. Therefore, when DP quantization is used to design multiple quantizers, there are many redundant computations in the optimization process. This paper proposes an extended DP quantization with a complexity reduction algorithm for the optimal design of multiple quantizers. Experiments show that the proposed algorithm reduces complexity by 20.8%, on average, compared to conventional DP quantization.
ER -
English
