论文标题
亚nyquist计算幽灵成像，具有正规规定的彩色噪声模式
Sub-Nyquist computational ghost imaging with orthonormalized colored noise pattern
论文作者
论文摘要
计算幽灵成像通常需要大量的图案照明才能获得高质量的图像。最近提出了彩色的噪声斑点图案，以在各种嘈杂的环境中代替白噪声模式，即使有限的模式也具有显着的信噪比增强。我们在这里提出并在这里实验证明了基于彩色噪声模式的正规化方法，以实现子nyquist计算幽灵成像。我们在质量指标中测试了重建的图像，例如对比度比率，均方误差，峰信号与噪声比和相关系数。结果表明，我们的方法可以提供高质量的图像，而采样比率低于常规方法的顺序。
Computational ghost imaging generally requires a large number of pattern illumination to obtain a high-quality image. The colored noise speckle pattern was recently proposed to substitute the white noise pattern in a variety of noisy environments and gave a significant signal-to-noise ratio enhancement even with a limited number of patterns. We propose and experimentally demonstrate here an orthonormalization approach based on the colored noise patterns to achieve sub-Nyquist computational ghost imaging. We tested the reconstructed image in quality indicators such as the contrast-to-noise ratio, the mean square error, the peak signal to noise ratio, and the correlation coefficient. The results suggest that our method can provide high-quality images while using a sampling ratio an order lower than the conventional methods.
