Title :
An Image Compression System
Author_Institution :
IBM ARC, K54/802, 650 Harry Rd., San Jose, Ca., 95120-6099
Abstract :
A lossless image compression system is described, which consists of a statistical model and an arithmetic code. The model first performs a prediction of each pixel by a plane, and then it collects the occurrence counts of the prediction errors, conditioned on past pixels forming a "context". The counts are collected in a tree, constructed adaptively, and the size of the context with which each pixel is encoded is optimized.
Keywords :
Arithmetic; Brightness; Context modeling; Error analysis; Gaussian distribution; Image coding; Pixel; Power system modeling; Predictive models; Statistical distributions;
Conference_Titel :
Military Communications Conference - Communications-Computers: Teamed for the 90's, 1986. MILCOM 1986. IEEE
DOI :
10.1109/MILCOM.1986.4805873
