NDLI: Three different KG version for image compression

Content Provider	IEEE Xplore Digital Library
Author	Gupta, K. Sharma, M. Baweja, N.
Copyright Year	2014
Description	Author affiliation: TIT&S Coll. Bhiwani, Bhiwani, India (Gupta, K.; Sharma, M.; Baweja, N.)
Abstract	The need for an efficient technique for compression of Images ever increasing because the original images need large amounts of disk space seems to be a big disadvantage during transmission & storage. Even though there are so many compression technique already present a better technique which is faster, memory efficient and simple which surely suits the requirements of the user. This paper have three version of KG technique which named as KG1, KG2 and KG3. These technique are very useful in image compression but all have different way to compress image. Compression ratio of image are also different in these three version and better to each other which depends upon what types of image chosen for compression.For version I: This technique named KGI version. The technique used here, is much more helpful in reducing the bandwidth of an image and to speed up of its availability, reliability, and transmission rates. For version 2: This technique named KG2 version. The technique used here is extremely helpful in reducing data storage and transformation without any loss in an image. In this technique, an image compression domain algorithm aims at high performance in terms of image effectiveness. For version 3: This technique named KG3 version. In this paper we proposed the Lossless method of image compression and decompression. This technique is simple in implementation and utilizes less memory. A software algorithm has been developed and implemented to compress and decompress the image.
Sponsorship	IEEE Delhi Sect.
Starting Page	831
Ending Page	837
File Size	819485
Page Count	7
File Format	PDF
e-ISBN	9781479929009
DOI	10.1109/ICICICT.2014.6781388
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Compression RGB Bit Image Lossless Image coding Image color analysis KG1 Transform coding KG3 KG2 Decompression KG Technique
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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