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Please use this identifier to cite or link to this item:

http://hdl.handle.net/20.500.12358/25131
TitleLossless Image Compression Techniques Comparative Study
Untitled
Abstract

In image compression, we can reduce the quantity of pixels used in image representation without excessively change image Visualization. Reducing image size enhance images sharing, transmitting and storing. This paper examines the performance of a set of lossless data compression algorithms which are RLE, Delta encoding and Huffman techniques on binary image, grey level images and RGB images.

Authors
Wahba, Walaa Z
Maghari, Ashraf Y. A.
TypeJournal Article
Date2016
Subjects
huffman
algorithm
compression
image
delta
rle
coding
Published inInternational Research Journal of Engineering and Technology (IRJET), e-ISSN 2395-0056
SeriesVolume: 3, Number: 2
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  • Staff Publications- Faculty of Information Technology [187]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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