High performance scalable image compression with EBCOT

Author

Taubman, David

Author_Institution

Sch. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia

Volume

9

Issue

7

fYear

2000

fDate

7/1/2000 12:00:00 AM

Firstpage

1158

Lastpage

1170

Abstract

A new image compression algorithm is proposed, based on independent embedded block coding with optimized truncation of the embedded bit-streams (EBCOT). The algorithm exhibits state-of-the-art compression performance while producing a bit-stream with a rich set of features, including resolution and SNR scalability together with a “random access” property. The algorithm has modest complexity and is suitable for applications involving remote browsing of large compressed images. The algorithm lends itself to explicit optimization with respect to MSE as well as more realistic psychovisual metrics, capable of modeling the spatially varying visual masking phenomenon

Keywords

computational complexity; data compression; image coding; image resolution; optimisation; transform coding; wavelet transforms; EBCOT; JPEG2000; MSE; SNR scalability; algorithm complexity; compression performance; embedded bit-streams; embedded block coding with optimized truncation; high performance scalable image compression; image compression algorithm; large compressed images; psychovisual metrics; random access property; remote browsing; resolution; spatially varying visual masking phenomenon; wavelet transform; Block codes; Image coding; Image reconstruction; Image resolution; Partitioning algorithms; Psychology; Rate-distortion; Scalability; Spatial resolution; Transform coding;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.847830

Filename

847830