Proceedings Paper
Q-state mean-field annealing algorithm for filtering of gray-level images suited for optoelectronic implementation| Format | Member Price | Non-Member Price |
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Paper Abstract
The possibility of implementing optically a mean field annealing algorithm for nonlinear noise filtering of grey level images has been addressed. To cope with grey level images we have considered an algorithm that corresponds to a Q-state spin-Ising model. The method has been implemented by an optoelectronic feedback loop incorporating a defocusing camera, a spatial light modulator, and a frame grabber. Experimental results are reported.
Paper Details
Date Published: 30 June 1994
PDF: 7 pages
Proc. SPIE 2304, Neural and Stochastic Methods in Image and Signal Processing III, (30 June 1994); doi: 10.1117/12.179234
Published in SPIE Proceedings Vol. 2304:
Neural and Stochastic Methods in Image and Signal Processing III
Su-Shing Chen, Editor(s)
PDF: 7 pages
Proc. SPIE 2304, Neural and Stochastic Methods in Image and Signal Processing III, (30 June 1994); doi: 10.1117/12.179234
Show Author Affiliations
Thomas Martini Joergensen, Riso National Lab. (Denmark)
Jesper Glueckstad, Riso National Lab. (Denmark)
Published in SPIE Proceedings Vol. 2304:
Neural and Stochastic Methods in Image and Signal Processing III
Su-Shing Chen, Editor(s)
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