High throughput dual-wavelength temperature distribution imaging via compressive imaging
| Autor: | Ge Zhu, Guang-Jie Zhai, Wen-Kai Yu, Ruo-Ming Lan, F. Zheng, Xu-Ri Yao, Xue-Feng Liu |
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| Rok vydání: | 2018 |
| Předmět: |
Materials science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Radiation 01 natural sciences law.invention 010309 optics Optics law 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Physical and Theoretical Chemistry Image sensor Throughput (business) Image resolution Pixel business.industry Detector 020206 networking & telecommunications Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Light intensity Computer Science::Computer Vision and Pattern Recognition business Beam splitter |
| Zdroj: | Optics Communications. 410:287-291 |
| ISSN: | 0030-4018 |
| Popis: | Thermal imaging is an essential tool in a wide variety of research areas. In this work we demonstrate high-throughput double-wavelength temperature distribution imaging using a modified single-pixel camera without the requirement of a beam splitter (BS). A digital micro-mirror device (DMD) is utilized to display binary masks and split the incident radiation, which eliminates the necessity of a BS. Because the spatial resolution is dictated by the DMD, this thermal imaging system has the advantage of perfect spatial registration between the two images, which limits the need for the pixel registration and fine adjustments. Two bucket detectors, which measures the total light intensity reflected from the DMD, are employed in this system and yield an improvement in the detection efficiency of the narrow-band radiation. A compressive imaging algorithm is utilized to achieve under-sampling recovery. A proof-of-principle experiment was presented to demonstrate the feasibility of this structure. |
| Databáze: | OpenAIRE |
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