Passive Inter-Photon Imaging
| Autor: | Alberto Tosi, Atul Ingle, Mauro Buttafava, Trevor Seets, Mohit Gupta, Andreas Velten, Shantanu Gupta |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Brightness business.product_category Computer science Computer Vision and Pattern Recognition (cs.CV) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer Science - Computer Vision and Pattern Recognition Optics FOS: Electrical engineering electronic engineering information engineering Medical imaging sezele SPAD Digital camera ComputingMethodologies_COMPUTERGRAPHICS sezele Pixel business.industry Dynamic range Image and Video Processing (eess.IV) Photography Electrical Engineering and Systems Science - Image and Video Processing Ray SPAD Computer Science::Computer Vision and Pattern Recognition Artificial intelligence business Energy (signal processing) |
| Zdroj: | CVPR |
| Popis: | Digital camera pixels measure image intensities by converting incident light energy into an analog electrical current, and then digitizing it into a fixed-width binary representation. This direct measurement method, while conceptually simple, suffers from limited dynamic range and poor performance under extreme illumination -- electronic noise dominates under low illumination, and pixel full-well capacity results in saturation under bright illumination. We propose a novel intensity cue based on measuring inter-photon timing, defined as the time delay between detection of successive photons. Based on the statistics of inter-photon times measured by a time-resolved single-photon sensor, we develop theory and algorithms for a scene brightness estimator which works over extreme dynamic range; we experimentally demonstrate imaging scenes with a dynamic range of over ten million to one. The proposed techniques, aided by the emergence of single-photon sensors such as single-photon avalanche diodes (SPADs) with picosecond timing resolution, will have implications for a wide range of imaging applications: robotics, consumer photography, astronomy, microscopy and biomedical imaging. Accepted to CVPR 2021 as an oral presentation |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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