Preprocessing for discrete multiwavelet transform of two-dimensional signals

Kwok-Wai Cheung; Lai-Man Po

doi:10.1109/ICIP.1997.638769

Preprocessing for discrete multiwavelet transform of two-dimensional signals

Kwok-Wai Cheung
, Lai-Man Po

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

5 Citations (Scopus)

Abstract

Multiwavelet transform can be implemented by tree-structured matrix filter bank, which operates on vector sequence input instead of scalar ones. Therefore, unlike in scalar wavelet system, preprocessing is usually required to extract vector sequence input from the input signal for better performance. A 2-D approximation-based preprocessing scheme for GHM (Geronimo, Hardin and Massopust) discrete multiwavelet transform of 2-D signals is proposed. Compared with the recent 1-D approximation-based method, the proposed scheme reduces the preprocessing computational complexity by 65% while maintaining similar energy compression ability. © 1997 IEEE

Original language	English
Title of host publication	Proceedings International Conference On Image Processing
Subtitle of host publication	October 26-29, 1997 Santa Barbara, California
Publisher	IEEE
Pages	350-353
Volume	2
ISBN (Print)	0-8186-8183-7
DOIs	https://doi.org/10.1109/ICIP.1997.638769
Publication status	Published - Oct 1997
Event	1997 International Conference on Image Processing - Santa Barbara, CA, United States Duration: 26 Oct 1997 → 29 Oct 1997

Conference

Conference	1997 International Conference on Image Processing
Place	United States
City	Santa Barbara, CA
Period	26/10/97 → 29/10/97

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10.1109/ICIP.1997.638769

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title = "Preprocessing for discrete multiwavelet transform of two-dimensional signals",

abstract = "Multiwavelet transform can be implemented by tree-structured matrix filter bank, which operates on vector sequence input instead of scalar ones. Therefore, unlike in scalar wavelet system, preprocessing is usually required to extract vector sequence input from the input signal for better performance. A 2-D approximation-based preprocessing scheme for GHM (Geronimo, Hardin and Massopust) discrete multiwavelet transform of 2-D signals is proposed. Compared with the recent 1-D approximation-based method, the proposed scheme reduces the preprocessing computational complexity by 65\% while maintaining similar energy compression ability. {\textcopyright} 1997 IEEE",

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Cheung, K-W & Po, L-M 1997, Preprocessing for discrete multiwavelet transform of two-dimensional signals. in Proceedings International Conference On Image Processing: October 26-29, 1997 Santa Barbara, California. vol. 2, IEEE, pp. 350-353, 1997 International Conference on Image Processing , Santa Barbara, CA, United States, 26/10/97. https://doi.org/10.1109/ICIP.1997.638769

Preprocessing for discrete multiwavelet transform of two-dimensional signals. / Cheung, Kwok-Wai; Po, Lai-Man.
Proceedings International Conference On Image Processing: October 26-29, 1997 Santa Barbara, California. Vol. 2 IEEE, 1997. p. 350-353.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Preprocessing for discrete multiwavelet transform of two-dimensional signals

AU - Cheung, Kwok-Wai

AU - Po, Lai-Man

PY - 1997/10

Y1 - 1997/10

N2 - Multiwavelet transform can be implemented by tree-structured matrix filter bank, which operates on vector sequence input instead of scalar ones. Therefore, unlike in scalar wavelet system, preprocessing is usually required to extract vector sequence input from the input signal for better performance. A 2-D approximation-based preprocessing scheme for GHM (Geronimo, Hardin and Massopust) discrete multiwavelet transform of 2-D signals is proposed. Compared with the recent 1-D approximation-based method, the proposed scheme reduces the preprocessing computational complexity by 65% while maintaining similar energy compression ability. © 1997 IEEE

AB - Multiwavelet transform can be implemented by tree-structured matrix filter bank, which operates on vector sequence input instead of scalar ones. Therefore, unlike in scalar wavelet system, preprocessing is usually required to extract vector sequence input from the input signal for better performance. A 2-D approximation-based preprocessing scheme for GHM (Geronimo, Hardin and Massopust) discrete multiwavelet transform of 2-D signals is proposed. Compared with the recent 1-D approximation-based method, the proposed scheme reduces the preprocessing computational complexity by 65% while maintaining similar energy compression ability. © 1997 IEEE

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0031333694&origin=recordpage

U2 - 10.1109/ICIP.1997.638769

DO - 10.1109/ICIP.1997.638769

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-8186-8183-7

VL - 2

SP - 350

EP - 353

BT - Proceedings International Conference On Image Processing

PB - IEEE

T2 - 1997 International Conference on Image Processing

Y2 - 26 October 1997 through 29 October 1997

ER -

Preprocessing for discrete multiwavelet transform of two-dimensional signals

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