Author/Authors
öztürk, emir trakya university - department of computer engineering, Edirne, TURKEY , mesut, altan trakya university - department of computer engineering, Edirne, TURKEY
Title Of Article
ENTROPY BASED ESTIMATION ALGORITHM USING SPLIT IMAGES TO INCREASE COMPRESSION RATIO
شماره ركورد
43999
Abstract
Compressing image files after splitting them into certain number of parts can increase compression ratio. Acquired compression ratio can also be increased by compressing each part of the image using different algorithms, because each algorithm gives different compression ratios on different complexity values. In this study, statistical compression results and measured complexity values of split images are obtained, and an estimation algorithm based on these results is presented. Our algorithm splits images into 16 parts, compresses each part with different algorithm and joins the images after compression. Compression results show that using our estimation algorithm acquires higher compression ratios over whole image compression techniques with ratio of 5% on average and 25% on maximum.
From Page
31
NaturalLanguageKeyword
Estimation algorithm , image compression , image processing , image complexity
JournalTitle
Trakya university journal of engineering sciences
To Page
41
JournalTitle
Trakya university journal of engineering sciences
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