压缩传感
可扩展性
计算机科学
迭代重建
二进制数
线性系统
分辨率(逻辑)
算法
计算机视觉
计算机工程
人工智能
数学
数据库
算术
数学分析
作者
Ronan Kerviche,Nan Zhu,Amit Ashok
标识
DOI:10.1364/cosi.2014.cm2d.2
摘要
We present a scalable compressive imager using information-optimal measurements design and single-pass piece-wise linear reconstruction algorithm. Superior performance of such design compared to random binary projections is demonstrated via a real-time, high-resolution implementation of said system.
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