Various Approaches in Super Resolution
The resolution of a system is defined as the finest detail that can pass through the system without being distorted. The motivation of the super resolution field is to handle non-resolved details using a given apriori information about the input signal, (e.g., apriori knowledge on object shape, temporal behavior, wavelength behavior, dimensions, and polarization). The super resolution effect is achieved by exchanging degrees of freedom. For instance, let us assume that the spatial apertures of a system are small and some of the signal's information is lost due to this fact. If it is also apriori known that the signal's information is monochromatic, one may convert part of the spatial information into wavelength information, so that the aperture of the system is synthetically expanded. Based on the distinguishing features between the signal information and system's capabilities, one may adapt the space bandwidth (SW) function of the signal to the SW function of the system using the Wigner chart.
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