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Artificial neural network for image compression

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3 Author(s)
Sicuranza, G.L. ; Treiste Univ., Italy ; Romponi, G. ; Marsi, S.

An artificial neural network is proposed which is able to compress an image by computing a nonlinear nonorthogonal transform and its inverse. The network is trained with small blocks extracted from an image; after the learning phase, it proves to give satisfactory performances both for the learned and for different unlearned images.

Published in:

Electronics Letters  (Volume:26 ,  Issue: 7 )

Date of Publication:

29 March 1990

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