Title :
Optimal decomposition for wavelet image compression
Author :
Grgic, Sonja ; Grgic, Mislav ; Zovko-Cihlar, Branka
Author_Institution :
Fac. of Electr. Eng. & Comput., Zagreb Univ., Croatia
Abstract :
The paper discusses important features of wavelet transform in compression of still images including the extent to which the quality of image is degraded by process of wavelet compression and decompression. A set of wavelet functions (wavelets) for implementation in a still image compression system is examined. The effects of different wavelet functions, image contents and compression ratios are assessed. The benefit of this transform relating to today´s methods is stressed. Our results provide a good reference for application developers to choose a good wavelet compression system for their application
Keywords :
data compression; decoding; discrete wavelet transforms; filtering theory; image coding; image reconstruction; image resolution; optimisation; transform coding; compression ratios; discrete wavelet transform; filter order; image contents; image quality; image reconstruction; multiresolution analysis; objective PSNR quality measures; optimal decomposition; still image compression; transform coding; wavelet decompression; wavelet filter length; wavelet functions; wavelet image compression; Application software; Discrete cosine transforms; Discrete wavelet transforms; Frequency; ISO standards; Image coding; Image quality; Redundancy; Transform coding; Wavelet transforms;
Conference_Titel :
Image and Signal Processing and Analysis, 2000. IWISPA 2000. Proceedings of the First International Workshop on
Conference_Location :
Pula
Print_ISBN :
953-96769-2-4
DOI :
10.1109/ISPA.2000.914914
