Off-campus UNL users: To download campus access dissertations, please use the following link to log into our proxy server with your NU ID and password. When you are done browsing please remember to return to this page and log out.
Non-UNL users: Please talk to your librarian about requesting this dissertation through interlibrary loan.
Application of composite source models to lossless image compression
Abstract
It is difficult to model images using a single source model. We develop two composite source models for images. When these models are used for lossless image compression, the composite source models are shown to perform better than the traditional single source model in the sense of reducing the source modeling entropy. The main difference between these two models is the way the switching information is handled. In the nonadaptive composite source model, the switching information is transmitted as side information. While in the adaptive composite source model, the switching information is derived from the transmitted data, removing the need for side information.
Subject Area
Electrical engineering
Recommended Citation
Liu, Fuling, "Application of composite source models to lossless image compression" (1992). ETD collection for University of Nebraska-Lincoln. AAI9225479.
https://digitalcommons.unl.edu/dissertations/AAI9225479