Direction alignment algorithm for direction-adaptive discrete wavelet transform

Chao Hsiung Hung; Hsueh-Ming Hang

doi:10.1109/ICASSP.2012.6287998

Direction alignment algorithm for direction-adaptive discrete wavelet transform

Chao Hsiung Hung^*, Hsueh-Ming Hang

^*Corresponding author for this work

Department of Electronics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

2-D discrete wavelet transform (2-D DWT) represents non-vertical or non-horizontal edges inefficiently. Direction-adaptive discrete wavelet transform (DA-DWT) solves this problem by filtering along the directions of textures. DA-DWT partitions images into many blocks and finds the most suitable direction of each block. The block partition and direction information need to be transmitted as side information. A conventional DA-DWT often produces inconsistent directions of neighboring blocks and thus results in large amount of side information. In this paper, we propose a bottom-up direction alignment algorithm to align the block directions in local areas. Our algorithm can reduce 50% or more in side-information bits at the cost of negligible prediction error increase.

Original language	English
Title of host publication	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages	773-776
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2012.6287998
State	Published - 23 Oct 2012
Event	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan Duration: 25 Mar 2012 → 30 Mar 2012

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Country	Japan
City	Kyoto
Period	25/03/12 → 30/03/12

Keywords

direction alignment
Direction-adaptive discrete wavelet transform
image coding

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Hung, C. H., & Hang, H-M. (2012). Direction alignment algorithm for direction-adaptive discrete wavelet transform. In 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings (pp. 773-776). [6287998] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2012.6287998

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abstract = "2-D discrete wavelet transform (2-D DWT) represents non-vertical or non-horizontal edges inefficiently. Direction-adaptive discrete wavelet transform (DA-DWT) solves this problem by filtering along the directions of textures. DA-DWT partitions images into many blocks and finds the most suitable direction of each block. The block partition and direction information need to be transmitted as side information. A conventional DA-DWT often produces inconsistent directions of neighboring blocks and thus results in large amount of side information. In this paper, we propose a bottom-up direction alignment algorithm to align the block directions in local areas. Our algorithm can reduce 50% or more in side-information bits at the cost of negligible prediction error increase.",

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author = "Hung, {Chao Hsiung} and Hsueh-Ming Hang",

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Hung, CH & Hang, H-M 2012, Direction alignment algorithm for direction-adaptive discrete wavelet transform. in 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings., 6287998, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 773-776, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012, Kyoto, Japan, 25/03/12. https://doi.org/10.1109/ICASSP.2012.6287998

Direction alignment algorithm for direction-adaptive discrete wavelet transform. / Hung, Chao Hsiung; Hang, Hsueh-Ming.

2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings. 2012. p. 773-776 6287998 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hang, Hsueh-Ming

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N2 - 2-D discrete wavelet transform (2-D DWT) represents non-vertical or non-horizontal edges inefficiently. Direction-adaptive discrete wavelet transform (DA-DWT) solves this problem by filtering along the directions of textures. DA-DWT partitions images into many blocks and finds the most suitable direction of each block. The block partition and direction information need to be transmitted as side information. A conventional DA-DWT often produces inconsistent directions of neighboring blocks and thus results in large amount of side information. In this paper, we propose a bottom-up direction alignment algorithm to align the block directions in local areas. Our algorithm can reduce 50% or more in side-information bits at the cost of negligible prediction error increase.

AB - 2-D discrete wavelet transform (2-D DWT) represents non-vertical or non-horizontal edges inefficiently. Direction-adaptive discrete wavelet transform (DA-DWT) solves this problem by filtering along the directions of textures. DA-DWT partitions images into many blocks and finds the most suitable direction of each block. The block partition and direction information need to be transmitted as side information. A conventional DA-DWT often produces inconsistent directions of neighboring blocks and thus results in large amount of side information. In this paper, we propose a bottom-up direction alignment algorithm to align the block directions in local areas. Our algorithm can reduce 50% or more in side-information bits at the cost of negligible prediction error increase.

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KW - image coding

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Hung CH, Hang H-M. Direction alignment algorithm for direction-adaptive discrete wavelet transform. In 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings. 2012. p. 773-776. 6287998. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2012.6287998

Direction alignment algorithm for direction-adaptive discrete wavelet transform

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