Abstract

In this paper, we demonstrate that our nonlinear dynamic range compression two-beam coupling deconvolution outperforms image restoration based on the well-established filters that have been used for the last 50 years, such as the Wiener filter and the inverse filter. In contrast to standard deconvolution approaches, for which noise can be a limiting factor in the performance, our approach allows the retrieval of distorted signals embedded in a very-high-noise environment. We analyzed the deconvolution orders for this device using a nonlinear transform method. Resolution gray-level recovery of blurred noisy images is demonstrated for several different types of image blur.

© 2010 Optical Society of America

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