Towards a Full-Reference Quality Assessment for Color Images Using Directional Statistics
Towards a Full-Reference Quality Assessment for Color Images Using Directional Statistics
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DOI：
10.1109/tip.2015.2456419
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发表时间：
2015-11-01
影响因子：
10.6
通讯作者：
Plataniotis, Konstantinos N.
中科院分区：
文献类型：
--
作者：
Lee, Dohyoung;Plataniotis, Konstantinos N.
本文提出了一种新的计算模型量化的主观评价一致的彩色图像的感知质量。建议的全参考颜色度量，即，一个方向性的基于几何学的颜色相似性指数，被设计为一贯执行以及常见的彩色和非彩色失真。为了准确地预测彩色图像的视觉质量，我们使用从三个感知颜色通道中提取的局部颜色描述符：1）色调; 2）色度;和3）亮度。特别地，采用方向统计工具通过考虑其周期性来适当地处理色调数据。此外，利用两个加权机制来将本地测量的比较分数准确地联合收割机组合成最终分数。在大规模数据库上进行的大量实验表明，所提出的度量在广泛的彩色和非彩色失真范围内是有效的，使其更适合于彩色图像处理算法的评估和优化。
This paper presents a novel computational model for quantifying the perceptual quality of color images consistently with subjective evaluations. The proposed full-reference color metric, namely, a directional statistics-based color similarity index, is designed to consistently perform well over commonly encountered chromatic and achromatic distortions. In order to accurately predict the visual quality of color images, we make use of local color descriptors extracted from three perceptual color channels: 1) hue; 2) chroma; and 3) lightness. In particular, directional statistical tools are employed to properly process hue data by considering their periodicities. Moreover, two weighting mechanisms are exploited to accurately combine locally measured comparison scores into a final score. Extensive experimentation performed on large-scale databases indicates that the proposed metric is effective across a wide range of chromatic and achromatic distortions, making it better suited for the evaluation and optimization of color image processing algorithms.