Title :
A context adaptation model for the compression of images with a reduced number of colors
Author :
Pinho, Armando J. ; Neves, Antonio J R
Author_Institution :
Dept. de Electron. e Telecomunicacoes, Aveiro Univ., Portugal
Abstract :
Recently, Chen et al. proposed a method for compressing color-quantized images that is based on a binary tree representation of colors and on context-based arithmetic coding with variable size templates. In this paper, we address the problem of context adaptation and we propose a model that provides improvements in the lossless compression capabilities of Chen´s method.
Keywords :
arithmetic codes; data compression; image coding; image colour analysis; trees (mathematics); Chen method; binary tree representation; color-quantized images; context adaptation model; context-based arithmetic coding; image compression; Adaptation model; Arithmetic; Binary trees; Context modeling; Decoding; Image coding; Image reconstruction; Pixel; Telecommunications; Transform coding;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530161
