Fine spatial scalability in wavelet based image coding

Author

Yu, Donghoon ; Ra, Jong Beom

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., South Korea

Volume

2

fYear

2005

fDate

11-14 Sept. 2005

Abstract

Wavelet transform based image coding algorithms have the two inherent scalable features of SNR scalability and spatial (or resolution) scalability. However, fine scalability is supported only for the SNR, but spatial scalability is usually restricted to scales of powers of two which may not be considered fine. In this paper, we introduce the fine spatial scalability to wavelet transform based coding systems, by examining the relationship between the subbands of wavelet packet and the original signal spectrum. The proposed fine spatial scalability is useful for effective image resizing and efficient image data transmission according to the display resolution.

Keywords

image coding; image resolution; wavelet transforms; SNR scalability; display resolution; fine spatial scalability; image data transmission; original signal spectrum; scalable features; wavelet based image coding; wavelet packet; wavelet transform; Displays; Frequency; Image coding; Image resolution; Scalability; Spatial resolution; Transcoding; Wavelet domain; Wavelet packets; Wavelet transforms; scalability; spatial scalability; wavelet packet; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2005. ICIP 2005. IEEE International Conference on

Print_ISBN

0-7803-9134-9

Type

conf

DOI

10.1109/ICIP.2005.1530192

Filename

1530192