期刊
OPTICAL ENGINEERING
卷 50, 期 7, 页码 -出版社
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.3596602
关键词
compressed sensing; sampling; image reconstruction; inverse problems; computational imaging; infrared; coded aperture imaging; optimization
类别
资金
- NSF [CCF-06-43947, DMS-08-11062]
- DARPA [HR0011-09-1-0036]
- NGA [HM1582-10-1-0002]
- AFRL [FA8650-07-D-1221]
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [0965711] Funding Source: National Science Foundation
The emerging field of compressed sensing has potentially powerful implications for the design of optical imaging devices. In particular, compressed sensing theory suggests that one can recover a scene at a higher resolution than is dictated by the pitch of the focal plane array. This rather remarkable result comes with some important caveats however, especially when practical issues associated with physical implementation are taken into account. This tutorial discusses compressed sensing in the context of optical imaging devices, emphasizing the practical hurdles related to building such devices, and offering suggestions for overcoming these hurdles. Examples and analysis specifically related to infrared imaging highlight the challenges associated with large format focal plane arrays and how these challenges can be mitigated using compressed sensing ideas. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3596602]
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