基于掩盖模型非线性变换的相关性分析

Correlation Analysis of Non-linear Transformation Based on Masking Model

依据人眼掩盖效应,给出了一种基于掩盖效应的图像质量评价模型。将该模型的评价值经过非线性变换后,与图像数据库的平均主观得分结合,计算出相关性系数。相关性系数越接近1,与主观评价的一致性就越高。从实验数据中可以看出,不同的非线性变换得到的相关性系数不同。给出的变换方式有助于对掩盖模型进行改进,提高与标准数据库平均主观得分的吻合度。

According to the Masking Effect of human eyes,an image quality evaluation model based on Masking Effect was proposed in this paper.After nonlinear transformation,the evaluation value of the model was combined with the average subjective score of the image database to calculate the correlation coefficient.The closer the correlation coefficient is to 1,the more consistent it is with the subjective evaluation.It can be seen from the experimental data that the correlation coefficients obtained by different nonlinear transformations are different.The transformation method was given in this paper is helpful to improve the Masking Model and improve the agreement with the average subjective score of the standard database.