Title :
A high speed maximum entropy encoder for images
Author :
Angel, Edward S. ; Daigle, L. Don
Author_Institution :
University of New Mexico, Albuquerque, New Mexico
Abstract :
A simple nonlinear memory based coding system is presented which encodes and decodes images rapidly. The nonlinear nature of the coding system allows edges to be represented well. The coding system compares favorably to predictive coders in the one to two bits per pixel range.
Keywords :
Computed tomography; Decoding; Entropy; Equations; Image coding; Laboratories; Mean square error methods; Modulation coding; Pulse compression methods; Pulse modulation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
DOI :
10.1109/ICASSP.1983.1171998
