中文摘要：

提出一种新的图像质量评价方法，将Shearlet变换捕捉视觉感知特征的能力和人类视觉系统的感知特性相结合来描述各种失真引起的图像质量的变化。该评价方法首先对参考图像和失真图像进行Shearlet分解，再对分解得到的不同尺度下的子带系数进行对比敏感度掩膜。然后根据由参考图像子带系数确定的感知阈值来计算参考图像和失真图像的各个子带中可感知到的系数所占的比例。最后通过比较失真图像相对于参考图像可感知到的系数所占比例的变化程度，综合得到图像质量的客观评价。分别在LIVE数据库和不同失真程度的图像集上对本研究算法进行有效性和合理性实验。实验表明本研究所获得的客观质量评价结果与人类的主观质量评价具有较高的一致性，能够很好地反映人类的主观感受。

英文摘要：

An objective image quality assessment metric was proposed by combing the ability of shearlet transform to capture the visual perception feature and the properties of human visual system to describe the degradation of image qual-ity.First,the shearlet transformation was applied to reference and distorted images to obtain the subband coefficients of different scales,and then the contrast sensitivity masking was employed to obtain the subband coefficients of different scales of same perceptual importance.Second,the proportion of perceived coefficients of reference and distorted images was calculated according to the perception threshold,which was obtained from the subband coefficients of reference im-age.Finally,the objective image quality assessment was acquired by comparing the differences of the proportion of per-ceived coefficients between reference and distorted images.Tests were done on LIVE database and image sets of distor-tion at different levels to verify the rationality and validity of the proposed method.Experimental results illustrated that the proposed method had a good consistency with the subjective assessment of human beings,thus could be used to de-scribe the visual perception of the image effectively.