Optimal decomposition for wavelet image compression

Author

Grgic, Sonja ; Grgic, Mislav ; Zovko-Cihlar, Branka

Author_Institution

Fac. of Electr. Eng. & Comput., Zagreb Univ., Croatia

fYear

2000

fDate

2000

Firstpage

203

Lastpage

208

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISPA.2000.914914

Filename

914914