[1]谢立志,李玉惠,李勃. 一种基于视觉特性加权的图像质量评价方法[J].计算机技术与发展,2016,26(08):177-181.
　XIE Li-zhi,LI Yu-hui,LI Bo. An Image Quality Assessment Method Based on Visual Features Weighting[J].,2016,26(08):177-181.
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 一种基于视觉特性加权的图像质量评价方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年08期
页码:
177-181
栏目:
应用开发研究
出版日期:
2016-08-10

文章信息/Info

Title:
 An Image Quality Assessment Method Based on Visual Features Weighting
文章编号:
1673-629X（2016)08-0177-05
作者:
 谢立志; 李玉惠; 李勃
 昆明理工大学 信息工程与自动化学院
Author(s):
 XIE Li-zhi; LI Yu-hui; LI Bo
关键词:
 ; 图像处理; 图像质量评价 ; 人眼视觉特性; 梯度幅值; 结构相似度; 峰值信噪比
Keywords:
 ; image processing; image quality evaluation; human visual characteristics; gradient magnitude ; structural similarity; peak signal to noise ratio
分类号:
TP301
文献标志码:
A
摘要:
 图像质量评价在视频图像的各种应用中起着重要的作用。由于结构相似度图像质量评价方法在利用视觉特性方面的不足，因此文中在结构相似度图像质量评价方法的基础上，引入包含重要视觉信息的梯度幅值和对不同频率感知差异的对比敏感度特性对其进行改进，提出了一种基于视觉特性加权的图像质量评价方法。首先采用Sobel算子计算图像的梯度幅值，对结构相似度评价方法进行改进；再利用对比敏感度函数计算图像块的感知因子，给图像块赋予相应的权值；最后通过图像块评价值的加权得到整体评价值。实验结果表明，该算法优于结构相似度和峰值信噪比图像质量评价方法，更好地反映了人眼的主观感受。
Abstract:
 Image quality assessment plays an important role in a variety of applications for video images. Because of the deficiency of the image quality assessment method based on structural similarity in visual characteristics,on the basis of image quality assessment method of structure similarity,the gradient magnitude which contains the important visual information is introduced and the contrast sensitivity char-acteristics which is the differences in the perception of different frequency to improve,presentation of a method of image quality assess-ment based on visual features weighting. Firstly,the method of structural similarity evaluation is improved by gradient magnitude which is calculated with Sobel operator. Then,the perception factors of image block is calculated with the contrast sensitivity function,and the weight is given to the image block. Finally,the whole evaluation value is obtained by adding the image block evaluation value by weight of the image block. Experimental results show that the proposed algorithm is superior to structural similarity and peak signal to noise ratio of image quality assessment method,and better to reflect the subjective feelings of the human eye.

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更新日期/Last Update: 2016-09-29