Title :
A highly scalable speck image coder
Author :
Xie, Gui ; Shen, Hong
Author_Institution :
Graduate Sch. of Inf. Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
Abstract :
Pearlman´s SPECK image coding algorithm is a distortion scalable coder which achieves excellent compression performance with very low computational complexity. However, SPECK has no resolution and ROI (region of interest) scalabilities In this paper, we extend it to a novel highly scalable image coder named S-SPECK through an efficient strategy of grouping the wavelet coefficients according to their resolution levels mid relationship with ROIs. The proposed new coder not only retains all the advantages of SPECK, but also implements resolution and ROI scalabilities, which, we believe, is a better alternative than JPEG2000 for some applications. Extensive experiments have been conducted to verify all our claims.
Keywords :
data compression; image coding; image resolution; wavelet transforms; JPEG2000; ROI; S-SPECK; compression performance; distortion scalable coder; image coding algorithm; region of interest; resolution level; scalability; wavelet coefficient; Computational complexity; Image coding; Image reconstruction; Image resolution; Image retrieval; Modems; Scalability; Spatial resolution; Virtual manufacturing; Wavelet coefficients;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1419736