Recursive cellular networks for inverse problems

Ramakrishnan Sundaram

doi:10.1117/12.409208

17 November 2000 Recursive cellular networks for inverse problems

Ramakrishnan Sundaram

Author Affiliations +

Proceedings Volume 4109, Critical Technologies for the Future of Computing; (2000) https://doi.org/10.1117/12.409208
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

The recursive use of thresholded binary networks of the Hopfield-type lead to the efficient retrieval of the regularized least-squares (LS) solution in certain inverse problem formulations. This strategy is especially effective when substantial data must be processed by resources which are constrained either in space or available bandwidth. Partitions of the network are identified based on forms of representation of the data. The objective criterion is optimized using sequential and parallel updates on these partitions. The algorithms consist of minimizing a suboptimal objective criterion in the currently active partition. Once the local minima is attained, an inactive partition is chosen to continue the minimization. An application to digital image restoration is considered.

Citation Download Citation

Ramakrishnan Sundaram "Recursive cellular networks for inverse problems", Proc. SPIE 4109, Critical Technologies for the Future of Computing, (17 November 2000); https://doi.org/10.1117/12.409208

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