DocumentCode
709186
Title
Evaluation of image compression algorithms
Author
Pandian, R.
Author_Institution
Dept. of EIE, Sathyabama Univ., Chennai, India
fYear
2015
fDate
23-25 Feb. 2015
Firstpage
1
Lastpage
3
Abstract
Image compression techniques find an extensive role in the field of underwater image processing. Transform based image compression algorithms efficiency is mainly depending on the decoding methods, adopted. In this work, various decoding techniques such as Embedded Zero Tree wavelet, Set Partitioning Hierarchy Tree, Spatial Orientation Tree, Wavelet Difference Reduction and Advanced Wavelet Difference Reduction on an underwater image and the performance is measured by compression ratio, PSNR. Results clearly indicate that Zero Tree Wavelet coding performed well.
Keywords
data compression; decoding; image coding; wavelet transforms; advanced wavelet difference reduction; decoding methods; decoding techniques; embedded zero tree wavelet; set partitioning hierarchy tree; spatial orientation tree; transform based image compression algorithms; underwater image processing; zero tree wavelet coding; Classification algorithms; Compression algorithms; Decoding; Discrete wavelet transforms; Image coding; Harr Wavelet; PSNR; Underwater image;
fLanguage
English
Publisher
ieee
Conference_Titel
Underwater Technology (UT), 2015 IEEE
Conference_Location
Chennai
Print_ISBN
978-1-4799-8299-8
Type
conf
DOI
10.1109/UT.2015.7108244
Filename
7108244
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