An image coding approach using wavelet-based adaptive contourlet transform

Guoan Yang; Zhiqiang Tian; Chongyuan Bi; Yuzhen Yan

doi:10.1109/CSO.2009.309

An image coding approach using wavelet-based adaptive contourlet transform

Guoan Yang
, Zhiqiang Tian
, Chongyuan Bi
, Yuzhen Yan

College of Artificial Intelligence and Robotics

Xi'an Jiaotong University

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

2 Scopus citations

Abstract

In this paper, we propose an image coding approach using wavelet-based adaptive contourlet transform. The approach adopts the wavelet transform to implement subband decomposition to replace Laplace pyramid decomposition in contourlet transform, and thus the redundancy caused by the Laplace pyramid decomposition can be eliminated. Moreover, it chooses the directional filter banks as a key technique, combine SPIHT code, and realizes image compression coding called wavelet-based adaptive contourlet transform. The experiment results show that our approach is comparatively more effective than wavelet, contourlet and wavelet-based contourlet transform in terms of accurately capturing the characteristics of the texture and the edge of the image.

Original language	English
Title of host publication	Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
Pages	811-815
Number of pages	5
DOIs	https://doi.org/10.1109/CSO.2009.309
State	Published - 2009
Event	2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009 - Sanya, Hainan, China Duration: 24 Apr 2009 → 26 Apr 2009

Publication series

Name	Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
Volume	1

Conference

Conference	2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
Country/Territory	China
City	Sanya, Hainan
Period	24/04/09 → 26/04/09

Access to Document

10.1109/CSO.2009.309

Cite this

Yang, G., Tian, Z., Bi, C., & Yan, Y. (2009). An image coding approach using wavelet-based adaptive contourlet transform. In Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009 (pp. 811-815). Article 5193815 (Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009; Vol. 1). https://doi.org/10.1109/CSO.2009.309

@inproceedings{998e0d72967347bd8ecdcc6dc0d9faad,

title = "An image coding approach using wavelet-based adaptive contourlet transform",

abstract = "In this paper, we propose an image coding approach using wavelet-based adaptive contourlet transform. The approach adopts the wavelet transform to implement subband decomposition to replace Laplace pyramid decomposition in contourlet transform, and thus the redundancy caused by the Laplace pyramid decomposition can be eliminated. Moreover, it chooses the directional filter banks as a key technique, combine SPIHT code, and realizes image compression coding called wavelet-based adaptive contourlet transform. The experiment results show that our approach is comparatively more effective than wavelet, contourlet and wavelet-based contourlet transform in terms of accurately capturing the characteristics of the texture and the edge of the image.",

author = "Guoan Yang and Zhiqiang Tian and Chongyuan Bi and Yuzhen Yan",

year = "2009",

doi = "10.1109/CSO.2009.309",

language = "英语",

isbn = "9780769536057",

series = "Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009",

pages = "811--815",

booktitle = "Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009",

note = "2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009 ; Conference date: 24-04-2009 Through 26-04-2009",

}

Yang, G, Tian, Z, Bi, C & Yan, Y 2009, An image coding approach using wavelet-based adaptive contourlet transform. in Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009., 5193815, Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009, vol. 1, pp. 811-815, 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009, Sanya, Hainan, China, 24/04/09. https://doi.org/10.1109/CSO.2009.309

An image coding approach using wavelet-based adaptive contourlet transform. / Yang, Guoan; Tian, Zhiqiang; Bi, Chongyuan et al.
Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009. 2009. p. 811-815 5193815 (Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009; Vol. 1).

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

TY - GEN

T1 - An image coding approach using wavelet-based adaptive contourlet transform

AU - Yang, Guoan

AU - Tian, Zhiqiang

AU - Bi, Chongyuan

AU - Yan, Yuzhen

PY - 2009

Y1 - 2009

N2 - In this paper, we propose an image coding approach using wavelet-based adaptive contourlet transform. The approach adopts the wavelet transform to implement subband decomposition to replace Laplace pyramid decomposition in contourlet transform, and thus the redundancy caused by the Laplace pyramid decomposition can be eliminated. Moreover, it chooses the directional filter banks as a key technique, combine SPIHT code, and realizes image compression coding called wavelet-based adaptive contourlet transform. The experiment results show that our approach is comparatively more effective than wavelet, contourlet and wavelet-based contourlet transform in terms of accurately capturing the characteristics of the texture and the edge of the image.

AB - In this paper, we propose an image coding approach using wavelet-based adaptive contourlet transform. The approach adopts the wavelet transform to implement subband decomposition to replace Laplace pyramid decomposition in contourlet transform, and thus the redundancy caused by the Laplace pyramid decomposition can be eliminated. Moreover, it chooses the directional filter banks as a key technique, combine SPIHT code, and realizes image compression coding called wavelet-based adaptive contourlet transform. The experiment results show that our approach is comparatively more effective than wavelet, contourlet and wavelet-based contourlet transform in terms of accurately capturing the characteristics of the texture and the edge of the image.

UR - https://www.scopus.com/pages/publications/70649111323

U2 - 10.1109/CSO.2009.309

DO - 10.1109/CSO.2009.309

M3 - 会议稿件

AN - SCOPUS:70649111323

SN - 9780769536057

T3 - Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009

SP - 811

EP - 815

BT - Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009

T2 - 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009

Y2 - 24 April 2009 through 26 April 2009

ER -

Yang G, Tian Z, Bi C, Yan Y. An image coding approach using wavelet-based adaptive contourlet transform. In Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009. 2009. p. 811-815. 5193815. (Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009). doi: 10.1109/CSO.2009.309

An image coding approach using wavelet-based adaptive contourlet transform

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