利用快速水平集变换实现总变差最小化

Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision Pub Date : 2001-07-13 DOI:10.1109/VLSM.2001.938897

F. Dibos, G. Koepfler

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引用次数: 16

摘要

总变化的最小化是图像处理的一个重要工具。许多作者已经解决了这个问题，并开发了图像去噪算法。在之前的一篇文章中，我们给出了一种基于Coarea公式的总变差最小化问题的替代方法。本文的目的是在快速水平集变换的基础上，提出一种新的有效的协面积公式方法。

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Total variation minimization by the fast level sets transform

The minimisation of the total variation is an important tool of image processing. Many authors have addressed the problem and developed algorithms for image denoising. In a previous paper we gave an alternative approach to the total variation minimization problem based on the Coarea formula. The aim of this paper is to present a new efficient algorithm for the Coarea formula approach, based on the fast level sets transform.

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Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision

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