传统的图像质量评价方法MSE和PSNR都是基于全参考（FR）的质量评价方法，这就要求在对图像进行质量评价时给出参考图像，因此这种方法在实际应用中并不实用，而无参考(NR)图像质量评价正好解决了这一问题，因此具有重要意义。针对数字图像的客观质量评价，从模糊距离检测角度，提出了一种结合边缘检测的图像模糊估计的无参考图像质量评价方法，对比现有模糊检测方法，此方法比单独的边缘检测方法和模糊估计方法更为有效。经过对结果的分析与比较，本文方法的检测结果与主观感知质量有很好的相关性，而且算法具有复杂性低、无需参考源、检测准确性高、可移植性强等特点，因此实用性比较强。

Image quality evaluation of the traditional method MSE and PSNR are base on full reference(FR) quality assessment.It requires a reference image,so it is not practical to be used.While the no reference(NR) just can deals with this problem,so it is of great significance.Aiming at the object digital image quality assessment,to the degree of detecting the distance of blur,this paper presents a no reference metric of blur estimation base on the edge detection.After the analysis and comparison of the result,of which the relevance to the subjective quality perception is better than some other blur estimation metric which only detects the edge or estimates the blur.Whats more,since the low complexity of algorithm，the needless for source of reference,and the proposed metric can be practically used.