一种失真模糊图像的质量评价方法

A Kind of Distored Image Quality Assessment Method

目前的图像质量评价方法很难有效地评价失真模糊图像,其评价结果往往不符合人眼主观评价。为了寻求评价准确的方法,设计一种改进的结构相似度评价方法。考虑到小波分解能够模拟对比敏感度特性,利用不同空间频带的小波系数进行CSF特性加权,分别对待测试图像和参考图像提取出人眼感兴趣的中高频信息,然后进行结构相似度对比,以克服SSIM方法不能对失真图像有效评价的缺陷。经实验验证,该方法的评价结果比传统方法更符合主观评价。

The existed image quality assessment methods hardly can assess distorted image effectively.The result usually can＇t match up to the human visual assessment.In order to seek an approach which can assess distorted images more accurately,An improved SSIM image Quality Assessment method is proposed.Wavelet decomposition can simulate the property of CSF,the middle and high frequency information was extracted weighted by wavelet coefficients of difference frequency band respectively from tested image and the reference image.Through comparing with the information of two images,the method overcame the limitation of SSIM which can＇t effectively assess distorted image.The test proves the method performs better than traditional method.