压缩传感
计算机科学
焦平面阵列
背景(考古学)
光学成像
基点
影像学
领域(数学)
计算机视觉
人工智能
光学
像素
物理
古生物学
纯数学
生物
数学
出处
期刊:Optical Engineering
[SPIE - International Society for Optical Engineering]
日期:2011-07-01
卷期号:50 (7): 072601-072601
被引量:202
摘要
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.
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