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.