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High-Speed Imaging Using CMOS Image Sensor With Quasi Pixel-Wise Exposure
- Source :
- IEEE Transactions on Computational Imaging. 6:463-476
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- Several recent studies on compressive video sensing realized scene capture beyond the fundamental trade-off limit between spatial resolution and temporal resolution using random space-time sampling. However, most of these studies obtained results for higher-frame-rate video that was produced in simulation experiments or using an optically simulated random sampling camera, because there are currently no commercially available image sensors with random exposure or sampling capabilities. We fabricated a prototype complementary metal-oxide-semiconductor (CMOS) image sensor with quasi pixel-wise exposure timing that can realize nonuniform space-time sampling. The prototype sensor resets exposures independently by columns and fixes these exposures by rows for each 8 × 8-pixel block. This CMOS sensor is not fully controllable the pixels and has line-dependent control, but offers greater flexibility when compared with regular CMOS or charge-coupled device sensors with global or rolling shutters. We propose a method of realizing pseudo-random sampling for high-speed video acquisition that uses the flexibility of the CMOS sensor. We reconstruct the high-speed video sequence from images produced in pseudo-random sampling using a pre-learned decoder.
- Subjects :
- CMOS sensor
Pixel
business.industry
Computer science
010401 analytical chemistry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Sampling (statistics)
02 engineering and technology
01 natural sciences
0104 chemical sciences
Computer Science Applications
Computational Mathematics
Compressed sensing
CMOS
Temporal resolution
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
Image sensor
business
Image resolution
Subjects
Details
- ISSN :
- 23340118 and 25730436
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Computational Imaging
- Accession number :
- edsair.doi...........be5d96cf549b03e9a1318c52e54d580c
- Full Text :
- https://doi.org/10.1109/tci.2019.2956885