NDLI: Lossless image compression based on an enhanced fuzzy regression prediction

Content Provider	IEEE Xplore Digital Library
Author	Aiazzi, B. Baronti, S. Alparone, L.
Copyright Year	1999
Description	Author affiliation: CNR, Firenze, Italy (Aiazzi, B.)
Abstract	An effective method for lossless image compression is presented. It relies on a classified linear-regression prediction obtained through fuzzy techniques, followed by context based modeling of the outcome prediction errors, to enhance entropy coding. The present scheme is a reworking of the fuzzy encoder presented at ICIP'98 (FDC). Now, predictors, instead of pixel intensity patterns, are fuzzy-clustered to find out optimized MMSE prediction classes, and a novel membership function measuring the fitness of prediction is adopted. Size and shape of causal neighborhoods supporting prediction, as well as number of predictors to be blended, may be chosen by user and settle the tradeoff between coding performances and computational costs. The encoder exhibits impressive performances, thanks to the skill of predictors in fitting data patterns as well as to context modeling.
Starting Page	435
Ending Page	439
File Size	700488
Page Count	5
File Format	PDF
ISBN	0780354672
DOI	10.1109/ICIP.1999.821646
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-24
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Pixel Context modeling Entropy coding Predictive models Shape Computational efficiency Image reconstruction Biomedical imaging Medical diagnostic imaging
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

Near-lossless image compression: minimum-entropy, constrained-error DPCM

Lossless image compression based on a fuzzy linear prediction with context based entropy coding

Gradient based selective weighting of neighboring pixels for predictive lossless image coding

Classification and blending prediction for lossless image compression

A New Adaptive Blending Predictor for Lossless Image Compression

Near-lossless image compression: minimum-entropy, constrained-error DPCM

Lossless interframe image compression via context modeling

A lossless compression method of medical images based on neighborhood's match

A lossless image coder with context-based minimizing MSE prediction and entropy coding

Lossless image compression based on an enhanced fuzzy regression prediction

Similar Documents

Near-lossless image compression: minimum-entropy, constrained-error DPCM

Lossless image compression based on a fuzzy linear prediction with context based entropy coding

Gradient based selective weighting of neighboring pixels for predictive lossless image coding

Classification and blending prediction for lossless image compression

A New Adaptive Blending Predictor for Lossless Image Compression

Near-lossless image compression: minimum-entropy, constrained-error DPCM

Lossless interframe image compression via context modeling

A lossless compression method of medical images based on neighborhood's match

A lossless image coder with context-based minimizing MSE prediction and entropy coding

Lossless image compression based on an enhanced fuzzy regression prediction