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首页> 外文期刊>ACM Transactions on Applied Perception (TAP) >Image Quality under Chromatic Impairments
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Image Quality under Chromatic Impairments

机译:色度受损下的图像质量

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The influence of chromatic impairments on the perceived image quality is studied in this article. Under the D65 standard illuminant, a set of hyperspectral images were represented into the CIELAB color space, and the corresponding chromatic coordinates were subdivided into clusters with the k-means algorithm. Each color cluster was shifted by a predefined chromatic impairment ΔE_(ab)* with random direction in a*b* chromatic coordinates only. Applying impairments of 3, 6, 9, 12, and 15 in a*b* coordinates to five hyperspectral images a set of modified images was generated. Those images were shown to subjects that were asked to rank their quality based on their naturalness. The Mean Opinion Score of the subjective evaluations was computed to quantify the sensitivity to the chromatic variations. This article is also complemented with an objective evaluation of the quality using several state-of-the-art metrics and using the CIEDE2000 color difference among others. Analyzing the correlations between subjective and objective quality evaluation helps us to conclude that the proposed quality estimators based on the CIEDE2000 provide the best representation. Moreover, it was concluded that the established quality metrics only become reliable by averaging their results on each color component.
机译:本文研究了色损对感知图像质量的影响。在D65标准光源下,将一组高光谱图像表示到CIELAB颜色空间中,并使用k-means算法将相应的色坐标细分为聚类。每个颜色簇仅在a * b *色坐标中以随机方向移动预定义的色损ΔE_(ab)*。将a * b *坐标中的3、6、9、12和15损伤应用于五个高光谱图像,生成了一组修改图像。这些图像显示给被要求根据其自然度对其质量进行排名的对象。计算主观评价的平均意见分数,以量化对色差的敏感性。本文还对质量进行了客观评估,其中使用了几种最新的度量标准,还使用了CIEDE2000颜色差异。分析主观和客观质量评估之间的相关性有助于我们得出结论,即基于CIEDE2000的拟议质量评估器可以提供最佳的表示。此外,得出的结论是,仅通过将每个颜色成分的结果平均,才能建立起质量指标。

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