Title :
On coding of sources with two-sided geometric distribution using binary decomposition
Author :
Krivoulets, Alexandre
Author_Institution :
IT Univ. of Copenhagen, Denmark
fDate :
6/24/1905 12:00:00 AM
Abstract :
Summary form only given. We address the problem of entropy coding of integers i∈Z with a probability distribution defined as the two-sided geometric distribution (TSGD) which arises mainly in tasks of image and video compression. An efficient method based on binary tree decomposition of the source alphabet, combined with binary arithmetic coding, was proposed for coding of DC and AC coefficients of the DCT in the JPEG image compression standard. Binary decomposition allows for efficient coding of sources with large alphabets and skewed distribution. We propose two binary decompositions for coding of sources with the TSGD.
Keywords :
arithmetic codes; binary codes; image coding; probability; source coding; statistical analysis; AC coefficients; DC coefficients; JPEG image compression standard; binary arithmetic coding; binary decomposition; binary tree decomposition; entropy coding; image compression; probability distribution; skewed distribution; source alphabet; source coding; two-sided geometric distribution; video compression; Artificial intelligence; Chromium; Data compression;
Conference_Titel :
Data Compression Conference, 2002. Proceedings. DCC 2002
Print_ISBN :
0-7695-1477-4
DOI :
10.1109/DCC.2002.1000002