NDLI: Scan predictive vector quantization of multispectral images

Content Provider	IEEE Xplore Digital Library
Author	Memon, N.D. Sayood, K.
Copyright Year	1994
Description	Author affiliation: Dept. of Comput. Sci., Arkansas Univ., Jonesboro, AR, USA (Memon, N.D.)
Abstract	It has previously been shown that efficient scanning techniques serve to enhance the performance of image compression schemes like vector quantization. However, work in this direction has mostly concentrated on using an alternate scanning technique based on space filling curves. Recently the authors defined the notion of a scan model that can be viewed as defining a connected scan of an image and gave algorithms to compute optimal scans for a variety of cost functions. Since an optimal scan varies from image to image, an encoding of the scan has to accompany an encoding of an image with respect to the scan. In most applications this turns out to be prohibitively expensive. By predictive scanning, the authors mean scanning an image along a prediction of the optimal scan. For multispectral images, an optimal scan of one band serves well as the prediction of the optimal scan for a spectrally adjacent band due to the presence of spectral correlations. In this paper the authors show how predictive scanning techniques can be used along with vector quantization to give an efficient compression technique for multispectral image data. The technique captures spectral as well as spatial correlations and hence performs significantly better than techniques that use spectrally adjacent blocks to form a vector that is subsequently quantized.
Starting Page	329
Ending Page	331
File Size	332861
Page Count	3
File Format	PDF
ISBN	0780314972
DOI	10.1109/IGARSS.1994.399118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-08-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vector quantization Multispectral imaging Image coding Filling Hilbert space Computer science Video compression Protection Bandwidth Wavelet transforms
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

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