A context adaptation model for the compression of images with a reduced number of colors

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.

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: António J. R. Neves, Armando J. Pinho
• Keywords: Context Adaptation Model, ICIP 2005, Image Processing