Title :
High performance scalable image compression with EBCOT
Author_Institution :
Sch. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia
fDate :
7/1/2000 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on