DocumentCode
894798
Title
Neural clustering for optimal KLT image compression
Author
Martinelli, G. ; Ricotti, L. Prina ; Marcone, G.
Author_Institution
Dipartimento INFOCOM, Rome Univ., Italy
Volume
41
Issue
4
fYear
1993
fDate
4/1/1993 12:00:00 AM
Firstpage
1737
Lastpage
1739
Abstract
A multiple class approach is proposed for improving the performance of the Karhunen-Loeve transform (KLT) image compression technique. The classification is adaptively performed by suitable neural networks. Several examples are presented in order to show that the proposed method performs much better than the classical discrete cosine transform (DCT)
Keywords
data compression; image processing; neural nets; transforms; DCT; KLT; Karhunen-Loeve transform; discrete cosine transform; image classification; image compression; neural clustering; neural networks; Discrete cosine transforms; Discrete transforms; Image coding; Image reconstruction; Karhunen-Loeve transforms; Mean square error methods; Multilayer perceptrons; Neural networks; Neurons; Pixel;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.212760
Filename
212760
Link To Document