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Compression of Sequential Images
Stamford, Connecticut June 18-June 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.1999.78128812th IEEE Symposium on Computer-Based ...
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Mohamed A. Kerasha, University of Connecticut
Ian Greenshields, University of Connecticut
We consider compressing sequential images (i.e., images with a strong correlation which are not time-dependent, such as proximal MR/CT slices or the image dataset from the Visible Human project) using neural nets. The basic idea is that compression takes place in the encoding of the outputs of the hidden layer, which is then transmitted to the receiver.
Citation:
Mohamed A. Kerasha, Ian Greenshields, "Compression of Sequential Images," cbms, pp.272, 12th IEEE Symposium on Computer-Based Medical Systems (CBMS'99), 1999
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