Imaging through turbid media: post processing using blind deconvolution

Stuart M. Jefferies; Kathy J. Schulze; Charles L. Matson; E. Keith Hege; Kurt Stoltenberg

doi:10.1117/12.455436

27 December 2001 Imaging through turbid media: post processing using blind deconvolution

Stuart M. Jefferies, Kathy J. Schulze, Charles L. Matson, E. Keith Hege, Kurt Stoltenberg

Proceedings Volume 4490, Multifrequency Electronic/Photonic Devices and Systems for Dual-Use Applications; (2001) https://doi.org/10.1117/12.455436
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

How to obtain sharp images when viewing through a turbid medium is a problem that arises in a number of applications, including optical biomedical imaging and optical surveillance in the presence of clouds. The main problem with this type of imagery is that it is difficult to accurately characterize the turbid medium sufficiently well to generate a point spread function that can be used to deconvolve the blurred data (and thus increase the resolution). We discuss the use of blind deconvolution as a means of estimating both the blur-free target and the system point spread function. We compare restorations obtained using a non-linear blind deconvolution algorithm with those obtained using a linear backpropagation algorithm. Preliminary results indicate that the blind deconvolution algorithm produces the more visually pleasing restorations. Moreover, it does so without requiring any prior knowledge of the characteristics of the turbid medium, or of what the blur-free target should look like: an important advance over the backpropagation algorithm.

Citation Download Citation

Stuart M. Jefferies, Kathy J. Schulze, Charles L. Matson, E. Keith Hege, and Kurt Stoltenberg "Imaging through turbid media: post processing using blind deconvolution", Proc. SPIE 4490, Multifrequency Electronic/Photonic Devices and Systems for Dual-Use Applications, (27 December 2001); https://doi.org/10.1117/12.455436

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