IQM-Vis: A user-centric python toolbox for visualising and evaluating image quality metrics

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-06-21 DOI:10.1016/j.softx.2025.102225

M. Clifford , A. Hepburn , R. Kleinlein , J. Vila-Tomás , P. Hernández-Cámara , P. Dauden , N. Lepora , V. Laparra , R. Santos-Rodríguez

引用次数: 0

Abstract

Image Quality Metrics (IQMs) assess differences between images where human judgements are too expensive or infeasible due to the number of evaluations needed. Although a multitude of IQMs have been proposed in the literature, none are considered flawless. Therefore, it is crucial to understand their limitations by evaluating their suitability for different application domains. This type of evaluation is both qualitative and quantitative, lending itself best to interactive graphical tools. To this end, we created IQM-Vis, the first open source toolbox dedicated to analysing IQMs, visualising image distortions and conducting human image perception experiments, all through a simple Python interface.

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IQM-Vis：一个以用户为中心的python工具箱，用于可视化和评估图像质量指标

图像质量度量（iqm）评估图像之间的差异，其中由于需要进行大量评估，人工判断过于昂贵或不可行。虽然文献中提出了大量的iqm，但没有一个被认为是完美无缺的。因此，通过评估它们对不同应用领域的适用性来了解它们的局限性是至关重要的。这种类型的评估是定性和定量的，最适合交互式图形工具。为此，我们创建了IQM-Vis，这是第一个专门用于分析iqm、可视化图像失真和进行人类图像感知实验的开源工具箱，所有这些都通过一个简单的Python界面完成。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.