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Keywords

Encryption Algorithm
Templatesُُُُ Matching

Abstract

ABSTRACT Any innovated technique introduced for images compression should be mixed between both, rapid transmission and lossless compression. The most important consideration is the selection of an encoding technique that reduces image data into lowest number of elements with a sufficient distinguishing features as well as a sufficient saving of information. The paper aims at developing the encoding algorithm using the method of (Tamplets Matching) and identifying the less possible required data to obtain a reduced size of resulting data without losing any of the image information. The modification has included data saving formula, as well as the addition primary stage (preprocessing) as an initial processing to prepare the image for encoding, which is considered the stage of constructing image skeleton through thinning, erosion and pruning processes. The modified algorithm has been applied on files with various images contents without preprocessing and a compression percentage has been obtained in the size of the final file by an average of (67%).i.e. data reduction percentage of (33%) in the size of the final file. However, when the preprocessing was added, compression percentage was of (54%).i.e. reduction percentage of (46%). (46%).
https://doi.org/10.33899/tanra.2008.161746
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