衍射
光学
计算机科学
迭代重建
反演(地质)
图像分辨率
反问题
计算机视觉
断层重建
镜头(地质)
分辨率(逻辑)
散射
对象(语法)
物理
人工智能
数学
地质学
数学分析
古生物学
构造盆地
作者
Stefano Marchesini,Haifeng He,Henry N. Chapman,Stefan P. Hau‐Riege,Aleksandr Noy,Malcolm R. Howells,Uwe Weierstall,John C. H. Spence
出处
期刊:Physical review
日期:2003-10-28
卷期号:68 (14)
被引量:722
标识
DOI:10.1103/physrevb.68.140101
摘要
A solution to the inversion problem of scattering would offer aberration-free diffraction-limited three-dimensional images without the resolution and depth-of-field limitations of lens-based tomographic systems. Powerful algorithms are increasingly being used to act as lenses to form such images. Current image reconstruction methods, however, require the knowledge of the shape of the object and the low spatial frequencies unavoidably lost in experiments. Diffractive imaging has thus previously been used to increase the resolution of images obtained by other means. Here we experimentally demonstrate an inversion method, which reconstructs the image of the object without the need for any such prior knowledge.
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