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Space-Time-Brightness Sampling Using an Adaptive Pixel-Wise Coded Exposure
- Source :
- CVPR Workshops
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- Most conventional digital video cameras face a fundamental trade-off between spatial resolution, temporal resolution and dynamic range (i.e., brightness resolution) because of a limited bandwidth for data transmission. A few recent studies have shown that with non-uniform space-time sampling, such as that implemented with pixel-wise coded exposure, one can go beyond this trade-off and achieve high efficiency for scene capture. However, in these studies, the sampling schemes were pre-defined and independent of the target scene content. In this paper, we propose an adaptive space-time-brightness sampling method to further improve the efficiency of video capture. The proposed method adaptively updates a pixel-wise coded exposure pattern using the information analyzed from previously captured frames. We built a prototype camera that enables adaptive coding of patterns online to show the feasibility of the proposed adaptive coded exposure method. Simulation and experimental results show that the adaptive space-time-brightness sampling scheme achieves more accurate video reconstruction results and high dynamic range with less computational cost, than previous method. To the best of our knowledge, our prototype is the first implementation of an adaptive pixel-wise coded exposure camera.
- Subjects :
- 0301 basic medicine
Pixel
business.industry
Dynamic range
Computer science
Video capture
Bandwidth (signal processing)
Digital video
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Sampling (statistics)
02 engineering and technology
Iterative reconstruction
03 medical and health sciences
030104 developmental biology
Adaptive coding
Temporal resolution
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Image resolution
High dynamic range
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Accession number :
- edsair.doi...........f3e52918dbf2483fe1b375debde2aeb4