DocumentCode
3333591
Title
Improved structures based on neural networks for image compression
Author
Carrato, Sergio ; Ramponi, Giovanni ; Premoli, Amedeo ; Sicuranza, Giovanni L.
Author_Institution
DEEI, Trieste Univ., Italy
fYear
1991
fDate
30 Sep-1 Oct 1991
Firstpage
493
Lastpage
502
Abstract
The problem of efficient image compression through neural networks (NNs) is addressed. Some theoretical results on the application of 2-layer linear NNs to this problem are given. Two more elaborate structures, based on a set of NNs, are further presented; they are shown to be very efficient while remaining computationally rather simple
Keywords
data compression; image coding; neural nets; 2-layer linear neural networks; image compression; neural networks; Backpropagation algorithms; Compression algorithms; Image coding; Image reconstruction; Joining processes; Karhunen-Loeve transforms; Mean square error methods; Neural networks; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing [1991]., Proceedings of the 1991 IEEE Workshop
Conference_Location
Princeton, NJ
Print_ISBN
0-7803-0118-8
Type
conf
DOI
10.1109/NNSP.1991.239492
Filename
239492
Link To Document