模Radon变换及其反演

A. Bhandari, Matthias Beckmann, F. Krahmer
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引用次数: 21

摘要

在本文中,我们引入了模Radon变换(MRT),并辅以一种反演算法。MRT是传统Radon变换的推广,通过计算二维函数在给定角度处的线积分的模得到。由于模操作对函数的范围有混叠效应,因此记录的MRT信号图总是有界的,从而避免了由饱和或剪切效应引起的信息丢失。这为成像应用铺平了一条新途径,如高动态范围断层扫描,这是一个处于早期发展阶段的主题。通过利用Unlimited Sensing架构的最新结果,我们证明了当结果(离散/连续)测量映射到带限制函数时,模Radon变换可以反转。因此,MRT为反演算法的概念化以及新硬件的开发带来了新的可能性,例如,用于单镜头高动态范围层析成像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Modulo Radon Transform and its Inversion
In this paper, we introduce the Modulo Radon Transform (MRT) which is complemented by an inversion algorithm. The MRT generalizes the conventional Radon Transform and is obtained via computing modulo of the line integral of a two-dimensional function at a given angle. Since the modulo operation has an aliasing effect on the range of a function, the recorded MRT sinograms are always bounded, thus avoiding information loss arising from saturation or clipping effects. This paves a new pathway for imaging applications such as high dynamic range tomography, a topic that is in its early stages of development. By capitalizing on the recent results on Unlimited Sensing architecture, we prove that the Modulo Radon Transform can be inverted when the resultant (discrete/continuous) measurements map to a band-limited function. Thus, the MRT leads to new possibilities for both conceptualization of inversion algorithms as well as development of new hardware, for instance, for single-shot high dynamic range tomography.
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