The reconstruction methods, which are based on compressed sensing (CS), make it possible to record and reconstruct information basing on its sparse or compressed representation. In this work, we study… Click to show full abstract
The reconstruction methods, which are based on compressed sensing (CS), make it possible to record and reconstruct information basing on its sparse or compressed representation. In this work, we study resistance of CS-based single-pixel imaging to partial loss of the intensity of the recorded radiation from an object with a limited area of the detector. The problem was solved experimentally by implementing the so-called single-pixel camera, as well as detecting optical radiation from the object and reconstructing its image with the use of CS methods. The method resistance to spatial radiation losses is estimated as a function of the size and shape of the detector aperture. The quality of image reconstruction depending on the two following factors is assessed: the fraction of the intensity of the detected radiation and the quantity of single-pixel detections. The results can ensure significantly wider application of the method to reconstruct data, both detected in dynamic and scattering media (including the introduction of various apertures and Fourier filtering) and in the case of significant spatial radiation losses.
               
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