NDLI: Asymmetric lossless image compression

Content Provider	IEEE Xplore Digital Library
Author	Memon, N.D. Sayood, K.
Copyright Year	1995
Description	Author affiliation: Dept. of Comput. Sci., Northern Illinois Univ., DeKalb, IL, USA (Memon, N.D.; Sayood, K.)
Abstract	Summary form only given. Lossless image compression is often required in situations where compression is done once and decompression is to be performed a multiple number of times. Since compression is to be performed only once, time taken for compression is not a critical factor while selecting an appropriate compression scheme. What is more critical is the amount of time and memory needed for decompression and also the compression ratio obtained. Compression schemes that satisfy the above constraints are called asymmetric techniques. While there exist many asymmetric techniques for the lossy compression of image data, most techniques reported for lossless compression of image data have been symmetric. We present a new lossless compression technique that is well suited for asymmetric applications. It gives superior performance compared to standard lossless compression techniques by exploiting 'global' correlations. By 'global' correlations we mean similar patterns of pixels that re-occur within the image, not necessarily at close proximity. The developed technique can also potentially be adapted for use in symmetric applications that require high compression ratios. We develop algorithms for codebook design using LBG like clustering of image blocks. For the sake of a preliminary investigation, codebooks of various sizes were constructed using different block sizes and using the 8 JPEG predictors as the set of prediction schemes.
File Size	81355
File Format	PDF
ISBN	0818670126
ISSN	10680314
DOI	10.1109/DCC.1995.515567
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-03-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Computer science Performance loss Pixel Clustering algorithms Algorithm design and analysis Predictive models Arithmetic Bit rate
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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
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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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