A novel design of critically sampled contourlet transform and its application to image coding

Shizuka Higaki; Seisuke Kyochi; Yuichi Tanaka; Masaaki Ikehara

doi:10.1109/ICIP.2008.4712396

A novel design of critically sampled contourlet transform and its application to image coding

Shizuka Higaki, Seisuke Kyochi, Yuichi Tanaka, Masaaki Ikehara

Department of Electronics and Electrical Engineering

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

3 Citations (Scopus)

Abstract

In this paper, a novel design method of critically sampled contourlet transform (CSCT) is proposed. Although, several types of CSCT have been proposed, they have some problems on efficiency and flexibility of their frequency plane partition patterns. In contrast to the way in conventional design methods based on a "top-down" approach, the proposed one is based on a "bottom-up" one. That is, the proposed CSCT decomposes the frequency plane into small directional sub-bands, and then synthesizes them up to a target frequency plane partition, while the conventional ones decompose into it directly. By this way, the proposed CSCT can provide an efficient and flexible frequency plane partition for image coding.

Original language	English
Title of host publication	2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages	2880-2883
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2008.4712396
Publication status	Published - 2008 Dec 1
Event	2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States Duration: 2008 Oct 12 → 2008 Oct 15

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2008 IEEE International Conference on Image Processing, ICIP 2008
Country/Territory	United States
City	San Diego, CA
Period	08/10/12 → 08/10/15

Keywords

Critically sampled contourlet
Image coding
Parallelogram filter banks
Quadrant filter banks
Wavelet transform

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/ICIP.2008.4712396

Cite this

Higaki, S., Kyochi, S., Tanaka, Y., & Ikehara, M. (2008). A novel design of critically sampled contourlet transform and its application to image coding. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings (pp. 2880-2883). Article 4712396 (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2008.4712396

A novel design of critically sampled contourlet transform and its application to image coding. / Higaki, Shizuka; Kyochi, Seisuke; Tanaka, Yuichi et al.
2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings. 2008. p. 2880-2883 4712396 (Proceedings - International Conference on Image Processing, ICIP).

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

Higaki, S, Kyochi, S, Tanaka, Y & Ikehara, M 2008, A novel design of critically sampled contourlet transform and its application to image coding. in 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings., 4712396, Proceedings - International Conference on Image Processing, ICIP, pp. 2880-2883, 2008 IEEE International Conference on Image Processing, ICIP 2008, San Diego, CA, United States, 08/10/12. https://doi.org/10.1109/ICIP.2008.4712396

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AB - In this paper, a novel design method of critically sampled contourlet transform (CSCT) is proposed. Although, several types of CSCT have been proposed, they have some problems on efficiency and flexibility of their frequency plane partition patterns. In contrast to the way in conventional design methods based on a "top-down" approach, the proposed one is based on a "bottom-up" one. That is, the proposed CSCT decomposes the frequency plane into small directional sub-bands, and then synthesizes them up to a target frequency plane partition, while the conventional ones decompose into it directly. By this way, the proposed CSCT can provide an efficient and flexible frequency plane partition for image coding.

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A novel design of critically sampled contourlet transform and its application to image coding

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