Computational Optical Sensing and Imaging 2021: introduction to the feature issue

Ke, Jun; Alieva, Tatiana; Oktem, Figen S.; Silveira, Paulo E. X.; Wetzstein, Gordon; Willomitzer, Florian

doi:10.1364/ao.456133

Cited by 2 publications

(1 citation statement)

References 53 publications

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“…Single-pixel camera technology has been widely used in spectral imaging, radar imaging, and medical imaging [11,12]. Similarly, it also supports a variety of applications for three-dimensional (3-D) imaging, such as multispectral imaging [13], depth estimation of imaging scenes [14], and video rate improvement [15].…”

Section: Introductionmentioning

confidence: 99%

Adaptive High-Resolution Imaging Method Based on Compressive Sensing

Wang

Gao²,

Duan³

et al. 2022

Sensors

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Compressive sensing (CS) is a signal sampling theory that originated about 16 years ago. It replaces expensive and complex receiving devices with well-designed signal recovery algorithms, thus simplifying the imaging system. Based on the application of CS theory, a single-pixel camera with an array-detection imaging system is established for high-pixel detection. Each detector of the detector array is coupled with a bundle of fibers formed by fusion of four bundles of fibers of different lengths, so that the target area corresponding to one detector is split into four groups of target information arriving at different times. By comparing the total amount of information received by the detector with the threshold set in advance, it can be determined whether the four groups of information are calculated separately. The simulation results show that this new system can not only reduce the number of measurements required to reconstruct high quality images but can also handle situations wherever the target may appear in the field of view without necessitating an increase in the number of detectors.

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