DocumentCode
2887256
Title
A spectral multi-resolution image encoding network
Author
Brause, Rüdiger W. ; Glitsch, Jügen
Author_Institution
Dept. of Comput. Sci., J.W. Goethe Univ., Frankfurt, Germany
fYear
1995
fDate
5-8 Nov 1995
Firstpage
138
Lastpage
141
Abstract
After a short introduction into traditional image transform coding, multirate systems and multiscale signal coding the paper focuses on the subject of image encoding by a neural network. Taking also noise into account a network model is proposed which not only learns the optimal localized basis functions for the transform but also learns to implement a whitening filter by multi-resolution encoding. A simulation showing the multi-resolution capabilities concludes the contribution
Keywords
image coding; neural nets; transform coding; multi-resolution encoding; multirate systems; multiscale signal coding; network model; neural network; optimal localized basis functions; spectral multi-resolution image encoding network; whitening filter; Encoding; Filter bank; Frequency; Image coding; Low pass filters; Neural networks; Principal component analysis; Quantization; Sampling methods; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on
Conference_Location
Herndon, VA
ISSN
1082-3409
Print_ISBN
0-8186-7312-5
Type
conf
DOI
10.1109/TAI.1995.479416
Filename
479416
Link To Document