Abstract Speckle deconvolution is a forcefully effective technique for imaging through scattering layers. However, this technique is not suitable for imaging through motional scattering layers, since the motion of the scattering layer after the point-spread-function (PSF) measurement makes the recovered image become blurred. To recover the image, the motion of the scattering layer is analyzed in four dimensions: rotation around the optical axis, translation along the optical axis, rotation around the cross-axis, and translation along the cross-axis. As a result, the speckles output from the scattering layer are distorted in four ways: speckle rotation, speckle scaling, speckle stretch, and speckle shift. According to these speckle distortions, the object image can be sharply recovered again by numerically reshaping the premeasured PSF. Moreover, the motion of the scattering layer can be roughly determined during the PSF reshaping process. This method effectively breaks the limitation of the deconvolution technique and has its meanings.

中文翻译：

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通过 PSF 整形和去卷积通过运动散射层成像

摘要 散斑去卷积是一种非常有效的散射层成像技术。然而，这种技术不适合通过运动散射层成像，因为点扩散函数 (PSF) 测量后散射层的运动会使恢复的图像变得模糊。为了恢复图像，散射层的运动从四个维度进行分析：绕光轴旋转、沿光轴平移、绕横轴旋转和沿横轴平移。结果，散射层输出的散斑以四种方式扭曲：散斑旋转、散斑缩放、散斑拉伸和散斑偏移。根据这些散斑失真，通过对预先测量的 PSF 进行数值整形，可以再次清晰地恢复物体图像。而且，在 PSF 整形过程中可以粗略地确定散射层的运动。这种方法有效地打破了反卷积技术的局限性，有它的意义。