量子电子学报2017，Vol.34Issue(6)：672-681,10.DOI:10.3969/j.issn.1007-5461.2017.06.005
可控金字塔分解的立体图像质量评价方法
Stereo image quality evaluation method based on steerable pyramid decomposition
摘要
Abstract
Based on the minimum energy error,the disparity image of the left and right views is obtained,and the steerable pyramid decomposition which has four scales and twelve orientations are carried on the left,right views and their disparity image.Each image can get one high frequency sub-band and fourty-eight directional sub-bands.The bivariate generalized Gaussian distribution fitting is carried on fourty-eight pairs of directional sub-bands corresponding to the decomposition of left and right views.Their shape and scale parameters are extracted,and across scales,spatial correlation statistical features from all orientation sub-bands are extracted.These features are input to support vector regression (SVR) to train and predict the stereo image quality score.Results show that the performance evaluation index of the quality evaluation model in LIVE 3D database,Spearman rank order correlation coefficient (SROCC),linear correlation coefficient (CC) are all above 0.93,which has good consistency with the subjective evaluation of human.关键词
图像处理/可控金字塔分解/最小能量误差/二元广义高斯分布/支持向量回归Key words
image processing/controlled pyramid decomposition/minimum energy error/bivariate generalized Gaussian distribution/support vector regression分类
信息技术与安全科学引用本文复制引用
刘新会,桑庆兵,孙长滨..可控金字塔分解的立体图像质量评价方法[J].量子电子学报,2017,34(6):672-681,10.基金项目
Supported by National Natural Science Foundation of China(国家自然科学基金,61170120) （国家自然科学基金,61170120）
