Title :
On the JPEG model for lossless image compression
Author :
Langdon, G. ; Gulati, Aashini ; Seiler, Ed
Author_Institution :
Dept. of Comput. Eng., California Univ., Santa Cruz, CA, USA
Abstract :
The JPEG lossless arithmetic coding algorithm and a predecessor algorithm called Sunset both employ adaptive arithmetic coding with the context model and parameter reduction approach of Todd et al. The authors compare the Sunset and JPEG context models for the lossless compression of gray-scale images, and derive new algorithms based on the strengths of each. The context model and binarization tree variations are compared in terms of their speed (the number of binary encodings required per test image) and their compression gain. In this study, the Bostelmann (1974) technique is studied for use at all resolutions, whereas in the arithmetic coded JPEG lossless, the technique is applied only at the 16-bit per pixel resolution.<>
Keywords :
data compression; image coding; Bostelmann technique; JPEG model; Sunset; adaptive arithmetic coding; binarization tree; binary encodings; compression gain; context model; gray-scale images; lossless arithmetic coding algorithm; lossless image compression; parameter reduction; speed; test image; Aerospace engineering; Context modeling; Digital arithmetic; Encoding; Gray-scale; Image coding; NASA; Partitioning algorithms; Probability distribution; Transform coding;
Conference_Titel :
Data Compression Conference, 1992. DCC '92.
Conference_Location :
Snowbird, UT, USA
Print_ISBN :
0-8186-2717-4
DOI :
10.1109/DCC.1992.227464