Comparison of the edge preservation capabilities of different variational models for vectorial image denoising

Yu Yuanpo; Pan Zhenkuan; Wei Weibo; Jiang Jing

doi:10.11834/jig.20111219

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Comparison of the edge preservation capabilities of different variational models for vectorial image denoising
Vol. 16, Issue 12, Pages: 2223-2230(2011)
Published：2011
DOI： 10.11834/jig.20111219
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DOI：

Yu Yuanpo, Pan Zhenkuan, Wei Weibo, Jiang Jing. Comparison of the edge preservation capabilities of different variational models for vectorial image denoising[J]. Journal of Image and Graphics, 2011, 16(12): 2223-2230. DOI： 10.11834/jig.20111219.

摘要

矢量图像噪声去除的变分模型必须考虑不同通道图像间的耦合以保持图像边缘

但所得到的模型复杂、计算效率低

且不同耦合方法对应的模型的边缘保持质量不同。本文首先设计了目前已经提出的这类变分模型的快速Split Bregman算法

然后通过大量数值实验对不同模型的边缘保持特性和计算效率进行了比较。所研究的模型分别使用LTV(layered total variation)规则项、MTV(multichannel total variation)规则项、CTV(color total variation)规则项、PA(polyakov action)规则项和RPA(reduced polyakov action)规则项。实验结果表明CTV模型对矢量图像去噪边缘保持最好

其他依次是PA模型、MTV模型、RPA模型和LTV模型;LTV模型计算效率最高

其他依次是MTV模型、RPA模型、CTV模型和PA模型。

Abstract

Variational models for vectorial image denoising involve couplings of different channels to preserve edges

which lead to problems of complexity and efficiency. Meanwhile

different types of couplings result in different edge preserving effects. The objective of our work is to design fast Split-Bregman algorithms for a couple of variational models which have been proposed in recent years and compare their edge preserving properties and their efficiency. Five variational models for vectorial image denoising using different regularizers are studied: the LTV (layered total variation) regularizer

the MTV (multichannel total variation) regularizer

the CTV (color total variation) regularizer

the PA (polyakov action) regularizer

and the RPA (reduced polyakov action) regularizer. The order of their edge preserving quality and computation efficiency are given based on numerical experiments. It is shown that the CTV model is the best method for edge preserving followed by the PA model

the MTV model

the RPA model

and the LTV model. The LTV model is the fastest model

followed by the MTV model

the RPA model

the CTV model

and the PA model.