Title :
Walsh Function Imagery Analysis
Author :
Kennedy, J. Dennis
Author_Institution :
Mathematical Sciences Department McDonnell Douglas Astronautics Company Huntington Beach, California
Abstract :
This paper presents some new results on the subject of imagery analysis by transform methods. Two transform techniques are presented. The first is the Hadamard-Walsh transform and the second is an eigenvector expansion technique. Experimental results are shown in terms of the degree of imagery data compression that can be obtained for each method. Results are also presented from a simulation experiment of picture transmission in a noisy environment.
Keywords :
Data compression; Employment; Frequency; Image analysis; Image coding; Image processing; Karhunen-Loeve transforms; Low-frequency noise; Working environment noise;
Journal_Title :
Electromagnetic Compatibility, IEEE Transactions on
DOI :
10.1109/TEMC.1971.303100