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A Laplace Transform Method for the Image In-painting

机译:用于图像修复的Laplace变换方法

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There are many image processing techniques based on partial differential equations that perform well, but they consume much computational time. It's vital that rapid and efficient ways of solving these equations are developed. Use of the Laplace transforms permits solution to the time dependent problems in a parallel environment. The solution procedure requires numerical computation of an inverse Laplace transform of which the Stehfest method was examined in the tests. We investigated the performance and efficiency of using the Laplace transform technique for the solution of a mathematical model related to image in-painting and compared the results with temporal integration.
机译:有许多基于偏微分方程的图像处理技术可以很好地完成工作,但它们会消耗大量的计算时间。开发出快速有效的求解这些方程的方法至关重要。拉普拉斯变换的使用允许解决并行环境中与时间有关的问题。求解过程需要对Laplace逆变换进行数值计算,并在测试中检查了Stehfest方法。我们研究了使用拉普拉斯变换技术求解与图像修复相关的数学模型的性能和效率,并将结果与​​时间积分进行了比较。

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