西安电子科技大学学报（自然科学版）2017，Vol.44Issue(1)：94-99,6.DOI:10.3969/j.issn.1001-2400.2017.01.017
一种利用像素局部相关性的图像质量评价方法
Local pixel correlation for image quality assessment
摘要
Abstract
The available image quality assessment methods are mostly based on the statistical characteristic and seldom consider the change of pixel correlation in conjunction with the quality assessment , which induces the quality assessment metric to be limited in the degradation of image quality caused by the change of pixel correlation . However , the pixel correlation change has a great effect on the image quality , so the pixel correlation for image quality assessment is proposed in this paper . Firstly , the mutual information is utilized to segment the image into non‐overlapped patches that have a minimum intra‐regional diversity and maximum inter‐regional diversity , which explores the relationship between segmented patches and image brightness distribution . Secondly , the correlation is described based on the relative entropy , mutual information and conditional entropy , and the image is then abstracted as the specific information , the saliency information and the entanglement information . Finally , the degradations of image information in the distorted image are mapped together to obtain final image quality . Experimental results show that the proposed framework has good consistency with subjective perception .关键词
图像质量评价/互信息/像素相关性/人类视觉系统Key words
image quality assessment/mutual information/pixel correlation/human vision system分类
信息技术与安全科学引用本文复制引用
路文,李帅,徐红强,何立火..一种利用像素局部相关性的图像质量评价方法[J].西安电子科技大学学报（自然科学版）,2017,44(1):94-99,6.基金项目
国家自然科学基金资助项目（61372130，61432014，61501349）；中央高校基本科研业务费专项资金资助项目（BDY081426， JB140214，XJS14042）；陕西省青年科技新星专项资金资助项目（2014KJXX-47）；中国博士后科学基金资助项目 （）
