多分辨率影像质量参数评定影像质量的方法

An image quality assessment approach based on quality parameter variances on multiple resolution representation

人眼视觉感知对跳跃变化敏感,提出了一种以影像多分辨率表达下质量参数相对变化模拟人眼视觉系统感知的质量评价模型。首先对影像进行基于小波变换的多分辨率表达,计算每一级影像质量参数值。其次,计算不同分辨率表达下影像质量参数变化,对质量参数进行线性拟合,以各级质量参数残差表示质量变化平滑度。最后,提出了基于各级影像质量参数残差的影像质量评价模型。对不同压缩比的遥感影像采用传统质量评价方法和本文算法的对比实验结果表明,本文算法能够取得绝对质量参数和主观视觉一致的效果,符合人眼视觉感知特性。

A new image quality assessment approach based on quality parameter variance on image multiple resolution representation is proposed to simulate the human vision system. Firstly, a district wavelet transformation is presented to obtain multiple resolution image representation. Image quality parameter is calculated on each level resolution image. Secondly, the image quality parameter variances are calculated and the remaining error of quality parameter after linear simulation is adopted to represent the smoothness of image quality variance. Finally, the image quality assessment model based on the remaining error of different resolution image representations is proposed. Applying the traditional image quality assessment method and the new model to images of different compression ratio show that the new image quality assessment model can obtain the accordant quality assessment effect both the absolute quality parameter and subjective vision. The new model is fit for human vision.