东南大学学报（英文版）2016，Vol.32Issue(1)：29-34,6.DOI:10.3969/j.issn.1003-7985.2016.01.006
基于感知分组理论的图像质量评价
Image quality assessment based on perceptual grouping
摘要
Abstract
To further explore the human visual system HVS the perceptual grouping PG which has been proven to play an important role in the HVS is adopted to design an effective image quality assessment IQA model.Compared with the existing fixed-window-based models the proposed one is an adaptive window-like model that introduces the perceptual grouping strategy into the IQA model.It works as follows first it preprocesses the images by clustering similar pixels into a group to the greatest extent then the structural similarity is used to compute the similarity of the superpixels between reference and distorted images finally it integrates all the similarity of superpixels of an image to yield a quality score.Experimental results on three databases LIVE IVC and MICT show that the proposed method yields good performance in terms of correlation with human judgments of visual quality.关键词
感知分组/感知图像质量评价/超像素/全参考Key words
perceptual grouping/perceptual image quality/assessment superpixels/full reference分类
信息技术与安全科学引用本文复制引用
王同罕,张璐,贾惠珍,孔佑勇,李宝生,舒华忠..基于感知分组理论的图像质量评价[J].东南大学学报（英文版）,2016,32(1):29-34,6.基金项目
The National Natural Science Foundation of China No．81272501 the National Basic Research Program of China 973 Program No．2011CB707904 Taishan Scholars Program of Shan－dong Province China No．ts20120505． （）
