DocumentCode
2036618
Title
Improved neural structures for image compression
Author
Marsi, Stefano ; Ramponi, Giouanni ; Sicuranza, Giouanni L.
Author_Institution
Telettra SpA, Milan, Italy
fYear
1991
fDate
14-17 Apr 1991
Firstpage
2821
Abstract
The problem considered is the effective compression of image data. Compared to the many methods which allow for high compression factors (mainly based on the DCT), the proposed neural approaches offer, after a suitable training, comparable performance both in terms of perceived image quality and measured SNR. Moreover, they are able to perform in the same step the two main required operations of transformation and selection of the most significant terms, with a correspondingly smaller computational effort
Keywords
data compression; neural nets; picture processing; transforms; image compression; image data; measured SNR; neural networks; neural structures; perceived image quality; selection; training; transformation; Computer networks; Concurrent computing; Databases; Discrete cosine transforms; Image coding; Image processing; Neural networks; Parallel processing; Performance evaluation; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150989
Filename
150989
Link To Document