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A Subjective Assessment Method of Aerospace Image Quality Based on Human Visual System

机译:基于人类视觉系统的航空图像质量的主观评估方法

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Aiming at the problems of blur, noise and contrast distortion in aerospace images, a subjective image quality assessment method based on human visual characteristics is proposed in this paper. First, the aerospace image database with different blur, noise and contrast distortions is simulated by 3D modelling software. Second, the subjects are required to give three image quality scores based on the indexes above, respectively. Third, the correlations of three indexes' scores are calculated by the Pearson formula and then different weights are given to the indexes based on the calculated correlation coefficient above. Finally, the modified subjective image assessment scores can be obtained by the multi-factor model. The proposed subjective evaluation model takes into account the influence of multiple factors that can show the characteristics of images comprehensively. Many experiment results have verified the correctness of the proposed method.
机译:针对航空图像中的模糊,噪声和对比失真的问题,本文提出了一种基于人类视觉特性的主观图像质量评估方法。首先,通过3D建模软件模拟具有不同模糊,噪声和对比失真的航空航天图像数据库。其次,需要基于上述指标给出三个图像质量评分。第三,三个索引分数的相关性由Pearson公式计算,然后基于上述计算的相关系数给出不同的权重。最后,可以通过多因素模型获得修改的主观图像评估分数。所提出的主观评估模型考虑了可以全面地显示图像特征的多种因素的影响。许多实验结果已经验证了所提出的方法的正确性。

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