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Boundary Ghosts for Discrete Tomography
Journal of Mathematical Imaging and Vision ( IF 2 ) Pub Date : 2021-01-04 , DOI: 10.1007/s10851-020-01010-2
Matthew Ceko , Timothy Petersen , Imants Svalbe , Rob Tijdeman

Discrete tomography reconstructs an image of an object on a grid from its discrete projections along relatively few directions. When the resulting system of linear equations is under-determined, the reconstructed image is not unique. Ghosts are arrays of signed pixels that have zero sum projections along these directions; they define the image pixel locations that have non-unique solutions. In general, the discrete projection directions are chosen to define a ghost that has minimal impact on the reconstructed image. Here we construct binary boundary ghosts, which only affect a thin string of pixels distant from the object centre. This means that a large portion of the object around its centre can be uniquely reconstructed. We construct these boundary ghosts from maximal primitive ghosts, configurations of \(2^N\) connected binary (\(\pm 1\)) points over N directions. Maximal ghosts obfuscate image reconstruction and find application in secure storage of digital data.



中文翻译:

离散层析成像的边界重影

离散层析成像从物体的离散投影沿相对较少的方向重建其图像。当得到的线性方程组的系统不确定时,重建的图像不是唯一的。鬼影是有符号像素的阵列,在这些方向上的投影和为零;它们定义具有非唯一解的图像像素位置。通常,选择离散投影方向以定义对重建图像影响最小的重影。在这里,我们构造了二进制边界重影,它只影响远离对象中心的一小串像素。这意味着可以围绕对象中心唯一地重建对象的大部分。我们从最大原始幻影,\(2 ^ N \)的配置构造这些边界幻影N个方向上连接的二进制(\(\ pm 1 \))点。最大的重影混淆了图像重建,并在数字数据的安全存储中找到了应用。

更新日期:2021-01-04
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