page_title: Super-resolution imaging
section_title: Geometrical or image-processing super-resolution
hierarchical_section_title: Super-resolution imaging / Techniques to which the term super resolution has been applied / Geometrical or image-processing super-resolution
caption_attribution_description: An example of super-resolution processing using PhotoAcute software for Windows. The left half shows the original, blown up to twice its normal size. The right half shows the image (at native resolution) that results when the software combines nine images together and does 2x superresolution (and dynamic range enhancement).
context_page_description: Super-resolution imaging is a class of techniques that enhance the resolution of an imaging system. In optical SR the diffraction limit of systems is transcended, while in geometrical SR the resolution of digital imaging sensors is enhanced.
  In some radar and sonar imaging applications, subspace decomposition-based methods and compressed sensing-based algorithms are employed to achieve SR over standard periodogram algorithm.
  Super-resolution imaging techniques are used in general image processing and in super-resolution microscopy.
caption: Compared to a single image marred by noise during its acquisition or transmission (left), the signal-to-noise ratio is improved by suitable combination of several separately-obtained images (right). This can be achieved only within the intrinsic resolution capability of the imaging process for revealing such detail.
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