NDLI: Application of ridgelet in cubic data compression

Content Provider	IEEE Xplore Digital Library
Author	Li Zeng Zong-Jian Li Xiao-Bing Zou Yan-Ping Lu Hunziker, P.R.
Copyright Year	2007
Description	Author affiliation: Chongqing Univ., Chongqing (Li Zeng; Zong-Jian Li; Xiao-Bing Zou; Yan-Ping Lu)
Abstract	Cubic data has two notable characteristics, the first being the large size of the datasets, requiring compression for storing or Internet transfer, the second is possible occurrence of many line or plane singularities which need to be preserved in compressed data. Ridgelet, a new analytic tool, has the ability to describe linear or super-plane singularities. The ridgelet transform can be described as the application of the wavelet transform to the coefficients of the Radon transform. In this paper, on the basis of this theory, two compression strategies for compression of cubic data are examined. The first strategy is the concept of 2D ridgelet compression applied to each slice of the cubic data and the second one is the concept of 3D ridgelet compression applied to the entire cubic data directly. In our strategies, the Radon transform is realized numerically by parallel projection (2D) or cone beam projection (3D), and the wavelet transform is realized by the lifting wavelet transform. These strategies have the following characteristics: embedded coding and strong robustness, all of which can be seen in the results of the numerical experiments.
Starting Page	311
Ending Page	315
File Size	953995
Page Count	5
File Format	PDF
ISBN	9781424410651
DOI	10.1109/ICWAPR.2007.4420685
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms ridgelet Data compression robustness Wavelet analysis Discrete wavelet transforms Pattern recognition cubic data Image coding Computed tomography wavelet Robustness compression embedded coding Pattern analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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