Progressive image transmission using a self-supervised back-propagation neural network

Wei Gong; K. R. Rao; Michael T. Manry

doi:10.1117/12.55176

1 January 1992 Progressive image transmission using a self-supervised back-propagation neural network

Wei Gong, K. R. Rao, Michael T. Manry

Author Affiliations +

Journal of Electronic Imaging, Vol. 1, Issue 1, (January 1992). https://doi.org/10.1117/12.55176

Abstract

A new technique for progressive image transmission (PIT) is presented that uses a self-supervised back-propagation neural network discrete cosine transform. The transmission sequence is determined using a back-propagation neural network (BPNN) feature importance function. Simulation results show that the PIT system can be successfully implemented using BPNN. Very good intermediate images are obtained at reasonable bit rates.

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Wei Gong, K. R. Rao, and Michael T. Manry "Progressive image transmission using a self-supervised back-propagation neural network," Journal of Electronic Imaging 1(1), (1 January 1992). https://doi.org/10.1117/12.55176

Published: 1 January 1992

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