Award Date

1-1-1997

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

Number of Pages

69

Abstract

The majority of compression algorithms developed today contain some degree of image loss. While this is acceptable for certain types of image viewing, such a loss can interfere with applications that require the scientific analysis of an image. In this paper a lossless motion compensation compression algorithm is introduced and tested on a series of medical images which contain a high degree of motion. This motion compensation technique compensates for translation, scaling, rotation and the movement of multiple objects. This is accomplished be recursively dividing an image into a series of blocks, starting with a set of sixteen by sixteen size blocks, which are checked for motion and stored as a set of five bitmap files. The recursion continues until a block contains a single pixel of movement, at which point the intensity difference of the pixel from the previous and current frame is stored in a sixth file.

Keywords

Compensation; Images; Large; Lossless; Motion; Movement; Volumes

Controlled Subject

Computer science

File Format

pdf

File Size

1894.4 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Permissions

If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to digitalscholarship@unlv.edu and include clear identification of the work, preferably with URL.

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/


COinS