Abstract

Imaging with a silver superlens under incoherent illumination is simulated using the finite-difference time-domain method. Conceding the use of incoherent light allows for illumination with a compact light source such as a light-emitting diode and enables both linear and nonlinear deconvolution of the resulting image with only intensity data that remains robust in the presence of Gaussian additive noise. The result is a super-resolved image of double-slit metallic mask objects with reconstructions exhibiting increased contrast and reduced full-width half-maximum. Resolution better than one-eighteenth of the free-space wavelength recovered from a previously unresolved double-slit is achieved with both deconvolution algorithms. The linear deconvolution procedure is unified with structured light illumination, directly analogous to recently proposed physical and computational loss compensation schemes, which employed coherent light. The results provide a path toward design of an ultracompact super-resolution imaging system that only requires intensity information for image reconstruction.

© 2017 Optical Society of America

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