Title :
High performance scalable image compression with EBCOT
Author_Institution :
Sch. of Electr. Eng., New South Wales Univ., Sydney, NSW, Australia
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 feature set, including resolution and SNR scalability together with a random access property. The algorithm has modest complexity and is extremely well suited to 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 :
block codes; data compression; image coding; optimisation; EBCOT; SNR scalability; embedded bit-streams; explicit optimization; feature set; high performance scalable image compression; image compression algorithm; independent embedded block coding; large compressed images; optimized truncation; psychovisual metrics; random access property; remote browsing; resolution; spatially varying visual masking phenomenon; Australia; Bismuth; Entropy coding; Image coding; Image reconstruction; Image resolution; Partitioning algorithms; Rate-distortion; Scalability; Spatial resolution;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.817132