Title :
Image compression using an outer product neural network
Author :
Russo, L.E. ; Real, E.C.
Author_Institution :
Lockheed Sanders Inc., Nashua, NH, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226041
