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

Neural networks

Image segmentation

Signal to noise ratio

Image compression

Matrices

Receivers

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