Blind deconvolution of images using neural networks

Ronald J. Steriti; Michael A. Fiddy

doi:10.1117/12.179744

8 July 1994 Blind deconvolution of images using neural networks

Ronald J. Steriti, Michael A. Fiddy

Proceedings Volume 2241, Inverse Optics III; (1994) https://doi.org/10.1117/12.179744
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

In this paper we consider the blind deconvolution of an image from an unknown blurring function using a technique employing two nested Hopfield neural networks. This iterative method consists of two steps, first estimating the blurring function followed by the use of this function to estimate the original image. The successive inter-linked energy minimizations are found to converge in practice although a convergence proof has not yet been established.

Citation Download Citation

Ronald J. Steriti and Michael A. Fiddy "Blind deconvolution of images using neural networks", Proc. SPIE 2241, Inverse Optics III, (8 July 1994); https://doi.org/10.1117/12.179744

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