Parallelizations of an Inpainting Algorithm Based on Convex Feasibility

Liviu Octavian Mafteiu-Scai, Irina Maria Artinescu, Vlad Mafteiu-Scai
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Abstract

Image restoration is a very common process in present and mainly consist in attempts to recover an image that has been degraded, by altering some areas or data missing and as a result a lot of algorithms have been proposed over time. In this work, parallel algorithms based on convex feasibility, for inpainting a scratch of an image are proposed.
一种基于凸可行性的绘图算法并行化
图像恢复是目前一个非常常见的过程,主要包括通过改变某些区域或丢失的数据来恢复已经退化的图像,因此随着时间的推移,已经提出了许多算法。在这项工作中,提出了基于凸可行性的并行算法,用于图像划痕的修复。
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