Achieving high rates and high resolution in noisy conditions is a main desiderate for computational imaging. Here, we demonstrate both numerically and experimentally that binary illumination based on spatially random distributions provides superior imaging capabilities at high compression ratios while operating in noisy environments. The proposed method permits decreasing the time for image formation without adding complexity to the imaging system or compromising the resolution. (C) 2015 Optical Society of America
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