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Combined Full-Reference Image Quality Metrics for Objective Assessment of Multiply Distorted Images
Electronics ( IF 2.9 ) Pub Date : 2021-09-14 , DOI: 10.3390/electronics10182256
Krzysztof Okarma , Piotr Lech , Vladimir V. Lukin

In the recent years, many objective image quality assessment methods have been proposed by different researchers, leading to a significant increase in their correlation with subjective quality evaluations. Although many recently proposed image quality assessment methods, particularly full-reference metrics, are in some cases highly correlated with the perception of individual distortions, there is still a need for their verification and adjustment for the case when images are affected by multiple distortions. Since one of the possible approaches is the application of combined metrics, their analysis and optimization are discussed in this paper. Two approaches to metrics’ combination have been analyzed that are based on the weighted product and the proposed weighted sum with additional exponential weights. The validation of the proposed approach, carried out using four currently available image datasets, containing multiply distorted images together with the gathered subjective quality scores, indicates a meaningful increase of correlations of the optimized combined metrics with subjective opinions for all datasets.

中文翻译:

用于多重失真图像客观评估的组合全参考图像质量指标

近年来,不同研究者提出了许多客观图像质量评估方法,导致它们与主观质量评估的相关性显着增加。尽管最近提出的许多图像质量评估方法,尤其是全参考指标,在某些情况下与个体失真的感知高度相关,但对于图像受到多重失真影响的情况,仍然需要对其进行验证和调整。由于可能的方法之一是组合度量的应用,因此本文讨论了它们的分析和优化。已经分析了两种度量组合的方法,它们基于加权乘积和建议的加权总和以及附加指数权重。所提议方法的验证,
更新日期:2021-09-14
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