中文摘要：

HVS中多通道分解模型用于度量误差图像空间尺寸的视觉感受，为了降低主观评价实验方法的条件要求，建立了一种基于多通道分解的图像测试信号设计方法。该方法通过控制白噪声在频域存在的区间，即白噪声经正交变换、掩膜量化矩阵，产生信噪比相同且空间尺寸不同的测试图像信号。分析和实验表明，多通道分解测试图像信号产生一对与高频和低频对应的误差图像，其信噪比基本相等但其空间尺寸的视觉感受不同，有利于考察与视觉感知相吻合的图像评价方法。

英文摘要：

HVS＇s multi-channel decomposition model can reflect the visual perception for image spatial size, An image test signal design method that based on multi-channel decomposition was proposed in order to reduce the experiment conditions for sub）ective evaluation. With controlling the frequency interval domain of white noise, the proposed method generates some test image signals that have same signal-to-noise ratio but different spatial sizes. Through generated a pair of test error image signals that corresponds to high-frequency and low-frequency, experiment shown that visual perception are different while signal-to-noise ratio are same. It will be valuable for the deep research of image quality assessment that consistent with visual perception.