[1] SHNAYDERMAN A,GUSEV A,ESKICIOGLU A M. An SVD-based grayscale image quality measure for local and global assessment[J]. IEEE transactions on image processing,2006,15(2):422-429.
[2]骞森,朱剑英. 基于奇异值分解的图像质量评价[J]. 东南大学学报(自然科学版),2006,36(4):643-646.
[3]YANG C A,KAVEH M. Image quality assessment using singular vectors[C]//Proceedings of SPIE 7529. California:International Society for Optics and Photonics,2010.
[4]NARWARIA M,LIN W. Scalable image quality assessment based on structural vectors[C]//Proceedings of IEEE International Workshop on Multimedia Signal Processing. Reo De Janeiro:IEEE,2009.
[5]WANG R,CUI Y,YUAN Y. Image quality assessment using full-parameter singular value decomposition[J]. Optical engineering,2011,50(5):057005.
[6]奚晓婷,张建秋. 一种奇异值与其向量联合评估图像质量的测度[J]. 复旦学报(自然科学版),2012,51(1):83-90.
[7]WANG Z,BOVIK A C,SHEIKH H R,et al. Image quality assessment:from error visibility to structural similarity[J]. IEEE transactions on image processing,2004,13(4):600-612.
[8]李航,路羊,崔慧娟,等. 基于频域的结构相似度的图像质量评价方法[J]. 清华大学学报(自然科学版),2009,49(4):559-562.
[9]吕丹,毕笃彦. 基于结构相似的DCT域图像质量评价[J]. 吉林大学学报(工学版),2011,41(6):1 771-1 776.
[10]叶盛楠,苏开娜,肖创柏,等. 基于结构信息提取的图像质量评价[J]. 电子学报,2008,36(5):856-861.
[11]杨春玲,陈冠豪,谢胜利. 基于梯度信息的图像质量评判方法的研究[J]. 电子学报,2007,35(7):1 313-1 317.
[12]苗莹,易三莉,贺建峰,等. 结合梯度信息的特征相似性图像质量评估[J]. 中国图象图形学报,2015,20(6):749-755.
[13]高全学,梁彦,潘泉,等. SVD用于人脸识别存在的问题及解决方法[J]. 中国图象图形学报,2006,11(12):1 784-1 791.
[14]XIAO L,WEI Z,YE J. Comments on“Robust embedding of visual watermarks using discrete wavelet transform and singular value decomposition”and theoretical analysis[J]. Journal of electronic imaging,2008,17(4):040501.
[15]肖亮,叶建兵,韦志辉. 一类基于SVD的数字水印虚警分析与改进算法[J]. 南京理工大学学报(自然科学版),2010,34(2):227-231.
[16]张飞艳,谢伟,陈荣元,等. 基于视觉加权的奇异值分解压缩图像质量评价测度[J]. 电子与信息学报,2010,32(5):1 061-1 065.
[17]SHEIKH H R,WANG Z,CORMACK L,et al. LIVE image quality assessment database release 2[DB/OL]. [2015-03-15].http://live.ece.utexas.edu/research/quality.