Andrew Masia


Certain image processing functions can be implemented more efficiently when the input data is in compressed form. Such an experimental system has been studied and simulated. The system consists of a one-dimensional Differential Pulse Code Modulation (DPCM) compressor, a one-dimensional non-recursive linear filter, and a one-dimensional DPCM decompressor, applied in that order. The implementation is more efficient because the filter is applied to the data in their compressed form, where fewer bits per pixel are required to represent them. A second, more conventional, system that contains the same functional elements but reverses the order of the filtration and decompression operations has also been implemented for comparison to the experimental one. The differences (errors) between the signals output from the two systems have been modeled and the models validated through experiments. It has been found that the systems can be made to yield equivalent results if certain parameters are constrained. These constraints do not put undue demands on system design nor do they substantially degrade system performance. Images produced by the two systems are presented and suggestions for additional work are discussed.

Library of Congress Subject Headings

Image processing--Digital techniques

Publication Date


Document Type


Department, Program, or Center

School of Photographic Arts and Sciences (CIAS)


Carson, John

Advisor/Committee Member

Granger, Edward

Advisor/Committee Member

Franari, Ronald


Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: TA1632.M37 1984


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