NDLI: LBT Based Low Complexity Image Compression Method

Content Provider	IEEE Xplore Digital Library
Author	Bo Chen Lizhi Cheng Hongxia Wang
Copyright Year	2006
Description	Author affiliation: Dept. of Mathematic & Syst. Sci., National Univ. of Defense Technol., Changsha (Bo Chen; Lizhi Cheng; Hongxia Wang)
Abstract	The lapped biorthogonal transform (LBT) based low complexity and low memory image compression method is proposed in this paper LBT costs 46% computation as the discrete wavelet based (DWT), and only buffers 1/15 data that DWT does. By analyzing the distribution of the coefficients of LBT, the quantized set partition codec is used in our method. In coding process no context information is needed, and no complicated data structure, such as list, is used, which is low memory and low computation. The compression results on many standard test images show that, using the same coding method, LBT based one performs better than DWT based, with higher PSNR and less distortion. We also find that LBT based method is especially fit to images with more details, such as high resolution satellite images. After all, our method is suitable to portable devices and real time processing
Sponsorship	IEEE CPS
Starting Page	941
Ending Page	944
File Size	193535
Page Count	4
File Format	PDF
ISBN	0769525210
ISSN	10514651
DOI	10.1109/ICPR.2006.745
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Discrete wavelet transforms Computational efficiency Codecs Data structures Testing Performance evaluation PSNR Image resolution Satellites
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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