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Noise suppression for ballistic-photons based on compressive in-line holographic imaging through an inhomogeneous medium
Optics Express ( IF 3.2 ) Pub Date : 2020-03-25
Hua Zhang, Songwen Liu, Liangcai Cao, and David J. Brady

Noise suppression is one of the most important tasks in imaging through inhomogeneous mediums. Here, we proposed a denoising approach based on compressive in-line holography for imaging through an inhomogeneous medium. A reference-beam-free system with a low-cost continuous-wave laser is presented. The suppression against the noise, which is brought by the scattering photons, is presented in simulations using the proposed algorithm. The noise immunity is demonstrated in lensless imaging behind a random phase mask with an optical depth of 1.42 by single exposure, as well as behind a ground glass with an optical depth of 6.38 by multiple exposures.

中文翻译:

基于非均匀介质的压缩在线全息成像对​​弹道光子的噪声抑制

抑制噪声是通过不均匀介质成像的最重要任务之一。在这里,我们提出了一种基于压缩在线全息技术的降噪方法,用于通过非均匀介质成像。提出了一种具有低成本连续波激光器的无参考束系统。使用所提出的算法在仿真中提出了对由散射光子带来的噪声的抑制。通过单次曝光在光学相位为1.42的随机相位掩膜后面,以及在多次曝光在光学深度为6.38的毛玻璃后面的无透镜成像中,证明了抗扰性。
更新日期:2020-03-26
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