DocumentCode
284736
Title
Image compression using an outer product neural network
Author
Russo, L.E. ; Real, E.C.
Author_Institution
Lockheed Sanders Inc., Nashua, NH, USA
Volume
2
fYear
1992
fDate
23-26 Mar 1992
Firstpage
377
Abstract
The application of the outer product neural network (OPNN) to the problem of image compression is described. Basic characteristics of the OPNN are discussed and related to image compression. A method of image compression using a hierarchy of two or more OPNNs is also described. Examples of results obtained with both a single OPNN and a hierarchy of two OPNNs are given and contrasted
Keywords
data compression; image processing; neural nets; OPNN; image compression; outer product neural network; Convergence; Feature extraction; Feeds; Image coding; Image reconstruction; Neural networks; Neurons; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location
San Francisco, CA
ISSN
1520-6149
Print_ISBN
0-7803-0532-9
Type
conf
DOI
10.1109/ICASSP.1992.226041
Filename
226041
Link To Document