Co-Sparse Tomographic Image Recovery:Performance Estimates and Large-Scale Programming

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：cser905

【摘要】

：

　　We investigate the reconstruction problem of discrete tomography and present a relation between image co-/sparsity and sufficient number of tomographic meas

【作者】

：

PetraStefania;

【机构】

：

Univ.of Heidelberg

【出处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

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论文部分内容阅读

　　We investigate the reconstruction problem of discrete tomography and present a relation between image co-/sparsity and sufficient number of tomographic measurements for exact recovery similar to the settings in Compressed Sensing.Further,known quantisation levels are used as prior knowledge to improve recovery using techniques from the field of discrete graphical models.Finally,regarding recovery algorithms,we focus on decomposition schemes that exploit the problem structure and scale up to large problem sizes.

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Co-Sparse Tomographic Image Recovery:Performance Estimates and Large-Scale Programming

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