Institut Pasteur, Unité d'Analyse d'Images Quantitative, CNRS Unité de Recherche Associée 2582, 25-28 rue du Docteur Roux, 75015 Paris, France.
Opt Lett. 2011 Jan 1;36(1):79-81. doi: 10.1364/OL.36.000079.
This Letter reports a demonstration of off-axis compressed holography in low-light level imaging conditions. An acquisition protocol relying on a single exposure of a randomly undersampled diffraction map of the optical field, recorded in the high heterodyne gain regime, is proposed. The image acquisition scheme is based on compressed sensing, a theory establishing that near-exact recovery of an unknown sparse signal is possible from a small number of nonstructured measurements. Image reconstruction is further enhanced by introducing an off-axis spatial support constraint to the image estimation algorithm. We report accurate experimental recovering of holographic images of a resolution target in low-light conditions with a frame exposure of 5 μs, scaling down measurements to 9% of random pixels within the array detector.
这封信件报告了在低光照条件下离轴压缩全息术的演示。提出了一种依赖于单次曝光记录的高异质增益下的光学场随机欠采样衍射图的采集协议。图像采集方案基于压缩感知，该理论表明，通过少量非结构测量，可以从少量非结构测量中实现对未知稀疏信号的近乎精确恢复。通过向图像估计算法引入离轴空间支持约束，进一步增强了图像重建。我们报告了在低光照条件下，使用 5μs 的帧曝光，将测量值缩小到阵列探测器中随机像素的 9%，成功准确地恢复了分辨率目标的全息图像。
