Contour-adaptive image restoration based on compressed sensing for ultrafast phenomena
Contour-adaptive image restoration based on compressed sensing for ultrafast phenomena
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DOI：
10.1063/5.0010440
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发表时间：
2020-07
影响因子：
4
通讯作者：
Masahiro Tsumori;S. Nagai;Ryosuke Harakawa;Toru Sasaki;M. Iwahashi
中科院分区：
文献类型：
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作者：
Masahiro Tsumori;S. Nagai;Ryosuke Harakawa;Toru Sasaki;M. Iwahashi
压缩超快摄影（CUP）方法通过压缩感知算法从单个观察图像恢复多个图像来观察超快光发射现象。然而，由于其正则化函数仅适用于具有晶格轮廓的超快光发射，因此CUP方法经常在恢复结果中产生伪影。为了解决这个问题，我们提出了一种适用于任何轮廓形状的超快光发射的恢复方法。具体来说，我们推导了一个正则化函数，可以自动估计超快光发射的轮廓。此外，我们还纠正了超快光发射的运动。通过用导出的正则化函数求解反问题，可以获得没有伪影的精确恢复结果。使用模拟基本现象的数据集进行的模拟表明，该方法在视觉质量和与原始图像的相关性方面优于传统的 CUP 方法。
The compressed ultrafast photography (CUP) method is used to observe ultrafast light emission phenomena by restoring multiple images from a single observed image via a compressed sensing algorithm. However, because its regularization function is only suitable for ultrafast light emissions with lattice contours, the CUP method frequently produces artifacts in the restoration result. To solve this problem, we propose a restoration method that is suitable for ultrafast light emissions with any contour shapes. Specifically, we derive a regularization function that automatically estimates the contours of the ultrafast light emissions. Furthermore, we correct the movement of the ultrafast light emissions. By solving the inverse problem with the derived regularization function, accurate restoration results without artifacts can be obtained. Simulations using datasets that emulate fundamental phenomena show that the proposed method is superior to the conventional CUP method in terms of visual quality and the correlation with the original image.