一种基于人眼视觉特性的图像质量评价

图像质量评价的研究已成为图像信息工程的基础技术之一。由于图像的最终接受者是人，所以评价图像质量的关键在于其是否符合人类视觉系统特性。为了建立一种新的符合人眼视觉特性的图像质量评价方法，利用小波变换与人类视觉系统的多通道特性相匹配的特点，结合对比敏感度函数的带通特性，同时考虑计算的复杂性，给出了一种与人对图像质量评价保持良好一致的图像质量评价算法。实验结果表明，其评价结果与主观评价方法平均评价分数的相关系数达0．95，而对应的客观评价方法峰值信噪比与平均评价分数的相关系数为0．81。

A Criterion of Image Quality Assessment Based on Property of HVS

Research on image quality assessment is meaningful for image processing projects. Since human being is the final receiver of the image, the key point of the image assessment is that it should match the characteristics of HVS(human visual system). In this paper, a novel image quality assessment according with perceptual property of human eye is proposed. In this algorithm, wavelet transform is used because it matches well with the multi-channel model of HVS, bandpass property of CSF(contrast sensitivity function) is integrated with, and the complexity of the computation is considered. The simulation results show that the correlation coefficient between the algorithm and subjective MOS(mean opinion score) is 0 95, but the correlation coefficient obtained by the PSNR(Peak signal noise ratio) measure is 0.81.