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Super-resolution imaging
Any technique to improve resolution of an imaging system beyond conventional limits
Super-resolution imaging
Super-resolution imaging (SRI) is a class of techniques to improve the resolution of an imaging system, thus achieving "super resolution" (SR). In optical SR the diffraction limit of systems is transcended by means of a super lens, while in geometrical SR the resolution of digital imaging sensors is enhanced. In some radar and sonar imaging applications (e.g. magnetic resonance imaging (MRI), high-resolution computed tomography), subspace decomposition-based methods (e.g. MUSIC) and compressed sensing-based algorithms (e.g., SAMV) are employed to achieve SR over standard periodogram algorithm. Super-resolution imaging techniques are used in general image processing and in super-resolution microscopy.
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