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Super resolution is one of the most fascinating and applicable fields in optical data
processing. The urge to obtain highly resolved images using low-quality imaging
optics and detectors is very appealing.
The field of super resolution may be categorized into two groups: diffractive and
geometrical super resolution. The first deals with overcoming the resolution limits
that are dictated by diffraction laws and related to the numerical aperture of the
imaging lens. The second deals with overcoming the limitation determined by the
geometrical structure of the detector array.
Various techniques have been developed to deal with both types of resolution
improvements. In all approaches, the spatial resolution improvement needs the
object to exhibit some sort of constraint (such as monochromaticity, slow variation
with time, single polarization, etc.), related with an unused dimension of the object.
The improvement is thus made at the price of sacrificing unused degrees of freedom
in the other domains as time, wavelength, polarization, or field of view. |
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