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Research of the Image Reconstruction from Incomplete Projection Data Based on the Homotopy Mapping

机译:基于同谐映射的不完全投影数据的图像重建研究

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Multi-objective optimization reconstruction algorithm is one of the main methods to solve the limited angle image reconstruction. However we have great difficulty in selecting the right parameter reasonably because there is not only one objective function. So we give a new method to choose the parameter which was called homotopy parameter based on the theory of homotopy in this paper. Finally, the simulations were carried out to verify the proposed strategy, and the simulation results show that this algorithm is superior to the conventional multi-objective optimization methods in many aspects, such as less reconstruction errors, higher smoothness and gray value resolution.
机译:多目标优化重建算法是解决有限角度重建的主要方法之一。 但是,我们很难合理选择合适的参数,因为不仅有一个客观函数。 因此,我们提供了一种新的方法来选择基于本文同谐波理论称为同型参数的参数。 最后,进行了模拟以验证所提出的策略,并且模拟结果表明,该算法在许多方面中优于传统的多目标优化方法,例如较少的重建误差,更高的平滑度和灰度值分辨率。

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