Title :
Evaluation of image compression algorithms
Author_Institution :
Dept. of EIE, Sathyabama Univ., Chennai, India
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;
Conference_Titel :
Underwater Technology (UT), 2015 IEEE
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-8299-8
DOI :
10.1109/UT.2015.7108244
