Superresolved image reconstruction from incomplete data
2012
A finite thickness slab of a metamaterial having a refractive index close to n = -1, can be used for sub-wavelength scale
imaging. In the image domain, the measured fields contain evanescent wave contributions from subwavelength scale
features in the object but these have to be related to the intrinsic parameters describing the scatterer such as refractive
index or permittivity. For weak scatterers there can be a simple relationship between the field distribution and the
permittivity profile. However for strong (multiple) scatterers and, more importantly, for objects for which
subwavelength features contribute to the scattered (near) field, there is no simple relationship between the measured data
and the permittivity profile. This is a significant inverse scattering problem for which no immediate solution exists and
given the metamaterial slab’s limitations one cannot assume that either angle or wavelength diversity will be available to
apply an inverse scattering algorithm. We consider wavelength diversity in this paper to acquire the measured data
necessary to estimate a superresolved solution to the inverse scattering problem.
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