While run length encoding is a popular technique for binary image compression, a raster (line by line) scanning technique is almost always assumed and scant attention has been given to the possibilities of using other techniques to scan an image as it is encoded. This thesis looks at five different image scanning techniques and how their relation ship to image features and scanning density (resolution) affects the overall compression that can be achieved with run length encoding. This thesis also compares the performance of run length encoding with an application of Huffman coding for binary image compression. To realize these goals a complete system of computer routines, the Image, Scanning and Compression (ISC) System has been developed and is now avail able for continued research in the area of binary image compression.

Library of Congress Subject Headings

Image processing--Digital techniques; Data compression (Computer science)--Technique; Scanning systems

Publication Date


Document Type


Student Type


Department, Program, or Center

Computer Science (GCCIS)


Comte, Chris

Advisor/Committee Member

Baker, Rodger


Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in December 2013.


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