1. Distance Extraction by Means of Photon-Counting Passive Sensing Combined with Integral Imaging
- Author
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Yong-Hyen Woo, Seokwon Yeom, and Won-Woo Baek
- Subjects
Integral imaging ,Computer science ,Machine vision ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Iterative reconstruction ,computer.software_genre ,Atomic and Molecular Physics, and Optics ,Photon counting ,Standard deviation ,Image (mathematics) ,Information extraction ,Computer vision ,Extraction (military) ,Artificial intelligence ,business ,computer - Abstract
Photon-counting sensing is a widely used technique for low-light-level imaging applications. This paper proposes a distance information extraction method with photon-counting passive sensing under low-lightlevel conditions. The photo-counting passive sensing combined with integral imaging generates a photon-limited elemental image array. Maximum-likelihood estimation (MLE) is used to reconstruct the photon-limited image at certain depth levels. The distance information is extracted at the depth level that minimizes the sum of the standard deviation of the corresponding photo-events in the elemental image array. Experimental and simulation results confirm that the proposed method can extract the distance information of the object under low-light-level conditions.
- Published
- 2011
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