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The improved method of interpolation computational ghost imaging in computational ghost imaging

机译:计算重影中插值计算重影的改进方法

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摘要

Computational ghost imaging has great application prospect in the fields of national defense and biomedical because ofits features of breaking the diffraction limit, being able to image under extremely weak background and harsh conditions.However, susceptible to the noise of the space environment, it has a low environmental signal-to-noise ratio. This paperpropose an algorithm of interpolation computational ghost imaging(ICGI) in the field of computational ghost imaging.For the purpose of weakening the influence of dynamic interference in the ghost imaging, it insert specific patterns to adigital micromirror device in the original light-emphasis sequence, linearly estimate the change in noise by illuminatingincoherent light, and correlate the optical signal of the object with the optical signal of the incoherent modulated light tocalculate and reconstruct the image of the object. And This algorithm and the quality of image is improved by means ofinterpolating between different amounts of random patterns and inserting specific patterns of different complexity.
机译:计算鬼魂成像在国防和生物医学领域具有很大的应用前景,因为 其特征在于,能够在极其弱的背景和恶劣的条件下进行图像。 然而,容易受到空间环境的噪声的影响,它具有低的环境信噪比。这篇报告 在计算鬼映像领域中提出了一种插值计算鬼成像(ICGI)的算法。 为了削弱动态干扰在鬼映像中的影响,它将特定模式插入到a 数字微镜器件在原始光重点序列,通过照明线性估计噪声的变化 不连贯的光,并将物体的光信号与非相干调制光的光信号相关联 计算并重建对象的图像。并通过这种算法和图像质量通过 在不同量的随机图案之间插入不同复杂性的特定模式。

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