论文标题

评估和比较边缘保留过滤器

Evaluation and Comparison of Edge-Preserving Filters

论文作者

Gingichashvili, Sarah, Lischinski, Dani

论文摘要

边缘保留过滤器在计算摄影的一些最基本的任务中起着至关重要的作用,例如抽象,调整,细节增强和删除纹理,仅举几例。平滑运算符的丰度和多样性伴随着缺乏评估产量质量和/或进行无偏见的方法,可能会导致误解和潜在滥用此类方法。本文介绍了一种系统的方法,用于评估和比较此类操作员,并在一组已发表的Edge Preserving滤波器上证明它。此外,我们提出了一个共同的基线,可以在该基线上进行比较,并使用它来确定方法之间的等效参数映射。最后,我们建议一些客观比较和评估边缘保留过滤器的指南。

Edge-preserving filters play an essential role in some of the most basic tasks of computational photography, such as abstraction, tonemapping, detail enhancement and texture removal, to name a few. The abundance and diversity of smoothing operators, accompanied by a lack of methodology to evaluate output quality and/or perform an unbiased comparison between them, could lead to misunderstanding and potential misuse of such methods. This paper introduces a systematic methodology for evaluating and comparing such operators and demonstrates it on a diverse set of published edge-preserving filters. Additionally, we present a common baseline along which a comparison of different operators can be achieved and use it to determine equivalent parameter mappings between methods. Finally, we suggest some guidelines for objective comparison and evaluation of edge-preserving filters.

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