Document Type
Thesis
Date of Award
5-31-1990
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
Yeheskel Bar-Ness
Second Advisor
Ali N. Akansu
Third Advisor
Chung H. Lu
Abstract
It is difficult to compress digital images with acceptable ratios if a distortion is not acceptable. The lack of a rule based structure as in a language is one of the main reasons. In this work a number of algorithms for lossless image data compression are considered. The coding and the modeling aspects are treated separately. Different approaches are proposed to combine. Markov Arithmetic Encoding, a very efficient plain text encoding scheme, with source modeling algorithms to obtain higher compressibility. A modular approach is selected which enables combining various models. Model statistics are studied for further improvements. The schemes presented outperforms known lossless image compression techniques, and yield acceptable compression ratios for practical usage in different applications.
Recommended Citation
Politi, Santo, "Lossless image data compression techniques using high order Markov arithmetic encoding" (1990). Theses. 2905.
https://digitalcommons.njit.edu/theses/2905
