Efficient Architectures for the Biorthogonal Wavelet Transform by Filter Bank and Lifting Scheme

Yeu-Horng SHIAU; Jer Min JOU; Chin-Chi LIU

Efficient Architectures for the Biorthogonal Wavelet Transform by Filter Bank and Lifting Scheme

Yeu-Horng SHIAU, Jer Min JOU, Chin-Chi LIU

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In this paper, two efficient VLSI architectures for biorthogonal wavelet transform are proposed. One is constructed by the filter bank implementation and another is constructed by the lifting scheme. In the filter bank implementation, due to the symmetric property of biorthogonal wavelet transform, the proposed architecture uses fewer multipliers than the orthogonal wavelet transform. Besides, the polyphase decomposition is adopted to speed up the processing by a factor of 2. In the lifting scheme implementation, the pipeline-scheduling technique is employed to optimize the architecture. Both two architectures are with advantages of lower implementation complexity and higher throughput rate. Moreover, they can also be applied to realize the inverse DWT efficiently. Based on the above properties, the two architectures can be applied to time-critical image compressions, such as JPEG2000. Finally, the architecture constructed by the lifting scheme is implemented into a single chip on 0.35 µm 1P4M CMOS technology, and its area and working performance are 5.005 5.005 mm² and 50 MHz, respectively.

Publication: IEICE TRANSACTIONS on Information Vol.E87-D No.7 pp.1867-1877

Publication Date: 2004/07/01

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Type of Manuscript: PAPER

Category: VLSI Systems

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Yeu-Horng SHIAU, Jer Min JOU, Chin-Chi LIU, "Efficient Architectures for the Biorthogonal Wavelet Transform by Filter Bank and Lifting Scheme" in IEICE TRANSACTIONS on Information, vol. E87-D, no. 7, pp. 1867-1877, July 2004, doi: .
Abstract: In this paper, two efficient VLSI architectures for biorthogonal wavelet transform are proposed. One is constructed by the filter bank implementation and another is constructed by the lifting scheme. In the filter bank implementation, due to the symmetric property of biorthogonal wavelet transform, the proposed architecture uses fewer multipliers than the orthogonal wavelet transform. Besides, the polyphase decomposition is adopted to speed up the processing by a factor of 2. In the lifting scheme implementation, the pipeline-scheduling technique is employed to optimize the architecture. Both two architectures are with advantages of lower implementation complexity and higher throughput rate. Moreover, they can also be applied to realize the inverse DWT efficiently. Based on the above properties, the two architectures can be applied to time-critical image compressions, such as JPEG2000. Finally, the architecture constructed by the lifting scheme is implemented into a single chip on 0.35 µm 1P4M CMOS technology, and its area and working performance are 5.005 5.005 mm² and 50 MHz, respectively.
URL: https://global.ieice.org/en_transactions/information/10.1587/e87-d_7_1867/_p

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@ARTICLE{e87-d_7_1867,
author={Yeu-Horng SHIAU, Jer Min JOU, Chin-Chi LIU, },
journal={IEICE TRANSACTIONS on Information},
title={Efficient Architectures for the Biorthogonal Wavelet Transform by Filter Bank and Lifting Scheme},
year={2004},
volume={E87-D},
number={7},
pages={1867-1877},
abstract={In this paper, two efficient VLSI architectures for biorthogonal wavelet transform are proposed. One is constructed by the filter bank implementation and another is constructed by the lifting scheme. In the filter bank implementation, due to the symmetric property of biorthogonal wavelet transform, the proposed architecture uses fewer multipliers than the orthogonal wavelet transform. Besides, the polyphase decomposition is adopted to speed up the processing by a factor of 2. In the lifting scheme implementation, the pipeline-scheduling technique is employed to optimize the architecture. Both two architectures are with advantages of lower implementation complexity and higher throughput rate. Moreover, they can also be applied to realize the inverse DWT efficiently. Based on the above properties, the two architectures can be applied to time-critical image compressions, such as JPEG2000. Finally, the architecture constructed by the lifting scheme is implemented into a single chip on 0.35 µm 1P4M CMOS technology, and its area and working performance are 5.005 5.005 mm² and 50 MHz, respectively.},
keywords={},
doi={},
ISSN={},
month={July},}

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TY - JOUR
TI - Efficient Architectures for the Biorthogonal Wavelet Transform by Filter Bank and Lifting Scheme
T2 - IEICE TRANSACTIONS on Information
SP - 1867
EP - 1877
AU - Yeu-Horng SHIAU
AU - Jer Min JOU
AU - Chin-Chi LIU
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2004
AB - In this paper, two efficient VLSI architectures for biorthogonal wavelet transform are proposed. One is constructed by the filter bank implementation and another is constructed by the lifting scheme. In the filter bank implementation, due to the symmetric property of biorthogonal wavelet transform, the proposed architecture uses fewer multipliers than the orthogonal wavelet transform. Besides, the polyphase decomposition is adopted to speed up the processing by a factor of 2. In the lifting scheme implementation, the pipeline-scheduling technique is employed to optimize the architecture. Both two architectures are with advantages of lower implementation complexity and higher throughput rate. Moreover, they can also be applied to realize the inverse DWT efficiently. Based on the above properties, the two architectures can be applied to time-critical image compressions, such as JPEG2000. Finally, the architecture constructed by the lifting scheme is implemented into a single chip on 0.35 µm 1P4M CMOS technology, and its area and working performance are 5.005 5.005 mm² and 50 MHz, respectively.
ER -