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5 September 2006k-space design of methods for optical and imaging hardware
Multiple scattering imposes severe challenges for inverse scattering and inverse synthesis
applications. We have been pursuing a relatively simple nonlinear filtering technique that could
provide an estimate of the scattering structure from scattered far-field data. This cepstral filtering
method assumes that one can obtain an estimate of the secondary source distribution and that under
certain conditions this is well approximated by a product of the scattering potential and terms
representing the total internal field. Preprocessing of this estimated function can render it a
minimum phase function, and its logarithm is then well behaved and amenable to spectral filtering
that allows an estimate of the scattering potential to be obtained. We have applied this to real and
simulated scattering data with some success. The deliberate manipulation of scattered field data
mapped into in reciprocal or k-space allows one to define certain scattering characteristics at specific
wavenumbers and scattering angles. Inversion of these data using the inversion method described
generates a possible structure that exhibits these properties in practice. We show some examples of
this and consider its usefulness for the design of rough surfaces with prescribed optical properties.
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M. A. Fiddy, M. E. Testorf, "k-space design of methods for optical and imaging hardware," Proc. SPIE 6316, Image Reconstruction from Incomplete Data IV, 63160H (5 September 2006); https://doi.org/10.1117/12.683397