NDLI: Integer to integer multiwavelets for lossless image compression

Content Provider	IEEE Xplore Digital Library
Author	Yu Shen Xieping Gao Linlang Liu Caixia Li Qiying Cao
Copyright Year	2011
Description	Author affiliation: Informationization Office, Donghua University, Shanghai 200054, China (Yu Shen; Linlang Liu; Caixia Li; Qiying Cao) \|\| College of Information and Engineering, Xiangtan University, Xiangtan 411105, China (Xieping Gao)
Abstract	In computer science and information theory, image compression is the process of encoding information using fewer bits than the original representation would use. Compression is useful because it helps reduce the consumption of expensive resources, such as hard disk space or transmission bandwidth. Image compression may be lossless or lossey. Lossless image compression is a class of image copression algorithms that allows the exact original data to be reconstructed from the compressed data. The term lossless is in contrast to lossy image compression, which only allows an approximation of the original data to be reconstructed, in exchange for better compression rates. Lossless compression is preferred for archival purposes and often for medical imaging, satellite imaging, or technical drawings. For the urgent requirement of efficient lossless compression and high fidelity compression, more and more research of lossless image compression will be concerned. After the introduction of the lifting scheme and the integer to integer multiwavelets, we present the approach to build integer to integer multiwavelets. In addition, experimental results of applying these multiwavelets to lossless image compression are presented.
Starting Page	217
Ending Page	221
File Size	209715
Page Count	5
File Format	PDF
ISBN	9781612841588
e-ISBN	9781612841595
DOI	10.1109/ICBNMT.2011.6155928
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Image coding Lifting Scheme Integer to integer multiwavelets Lossless image compression Wavelet analysis Entropy Finite element methods Image reconstruction
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
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

Adaptive lifting integer wavelet transform for lossless image compression

Construct the biorthogonal balanced multiwavelets by Lifting Scheme

Lossless image compression using adaptive lifting scheme based on minimum entropy criterion

Optimization and Implementation of Integer Lifting Scheme for Lossless Image Coding

Image coder using wavelet transforms

A two-dimensional lifting scheme of integer wavelet transform for lossless image compression

Design of three-channel filter banks for lossless image compression

Improved techniques for lossless image compression with reversible integer wavelet transforms

Two-dimensional non separable adaptive lifting scheme for still and stereo image coding

Integer to integer multiwavelets for lossless image compression

Similar Documents

Adaptive lifting integer wavelet transform for lossless image compression

Construct the biorthogonal balanced multiwavelets by Lifting Scheme

Lossless image compression using adaptive lifting scheme based on minimum entropy criterion

Optimization and Implementation of Integer Lifting Scheme for Lossless Image Coding

Image coder using wavelet transforms

A two-dimensional lifting scheme of integer wavelet transform for lossless image compression

Design of three-channel filter banks for lossless image compression

Improved techniques for lossless image compression with reversible integer wavelet transforms

Two-dimensional non separable adaptive lifting scheme for still and stereo image coding

Integer to integer multiwavelets for lossless image compression