VQEG. Final report from VQEG on the validation ofobjective models of video quality assessment[OL].(2000-3-15).Http://www.its.bldrdoc.gov/vqeg/projects/frtv_phaseII/downloads/VQEGII_Final_Peport.pdf.[2]Wang Z, Liang L, and Alan C B. Video quality assessmentusing structural distortion measurement[C]. InternationalConference on Image Processing, Rochester, NY, USA, 2002,3: 65-68.[3]Yu Z, Wu H R, and Winkler S, et al.. Vision-model-basedimpairment metric to evaluate blocking artifact in digitalvideo[J].Proceeding of the IEEE.2002, 90(1):154-169[4]Nill N B and Bouzas B H. Objective image quality measurederived from digital image power spectra[J]. IEEE SignalProcessing Letter, 2002, 9(3): 388-392.[5]Wang Z, Alan C B, and Hamid R S. Image quality assessment:from error visibility to structural similarity[J].IEEETransactions on Image Processing.2004, 13(4):600-612[6][6] ITU-R Recommendation BT.500-10. Methodology for thesubjective assessment of the quality of the televisionpictures[S], 2000.[7]Baroncint V. New tendencies in subjective video qualityevaluation[J]. IEICE Transactions on Fundamentals, 2006,89(11): 2933-2937.[8]Hoffmann H, Itagaki T, and Wood D, et al.. A novel methodfor subjective picture quality assessment and further studiesof HDTV formats[J]. IEEE Transctions on Broadcasting,2008, 54(1): 1-13.[9]Richardson I E. Fast subjective video quality measurementwith user feedback[J].IEE Electronics Letters.2004, 40(13):799-800[10]Russo F, De Angelis A, and Carbone P. A vector approach toquality assessment of color images[C]. IEEE InternationalInstrumentation and Measurement Technology Conference,Victoria, BC, Canada, 2008: 814-818.[11]Avcibas I, Sankar B, and Saygood K. Statistical evaluation ofimage quality measures[J].Journal of Electronic Imaging.2002, 11(2):206-223[12]汪孔桥, 沈兰荪, 刑昕. 一种基于视觉兴趣性的图像质量评价方法[J]. 中国图象图形学报, 2000, 5(4): 300-303.Wang Kong-qiao, Shen Lan-sun, and Xing Xin. A qualityassessment method of image based on visual interests[J].Journal of Image and Graphics, 2000, 5(4): 300-303.[13]Miyahara M, Kotani K, and Algazi V R. Objective picturequality scale (PQS) for image coding[J].IEEE Transactionson Communications.1998, 46(9):1215-1226[14]王楠楠, 李桂苓. 符合人眼视觉特性的视频质量评价模型[J].中国图象图形学报, 2001, 16(6): 523-527.Wang Nan-nan and Li Gui-ling. Video quality evaluationmodels based on human visual properties[J]. Journal of Imageand Graphics, 2001, 16(6): 523-527.[15]Tan K T, Ghanbari M, and Pearson D E. An objectivemeasurement tool for MPEG video quality[J]. SignalProcessing, 1998, 70(3): 279-294.[16]韦学辉, 李均利, 陈刚. 一种图像感知质量模型[J]. 计算机辅助设计与图形学学报, 2007, 19(12): 1540-1545.Wei Xue-hui, Li Jun-li, and Chen Gang. A perception basedimage quality assessment model[J]. Journal of Computer-Aided Design Computer Graphics, 2007, 19(12): 1540-1545.[17]Winkler S. A perceptual distortion metric for digital colorvideo[C]. Proceedings SPIE Human Vision and ElectronicImaging IV, San Jose, USA, Jan. 1999, 3644: 175-184.[18]马苗, 郝重阳. 基于灰色关联分析的图像保真度准则[J]. 计算机辅助设计与图形学学报, 2004, 16(7): 976-983.Ma Miao and Hao Chong-yang. Image fidelity criterion basedon grey relational analysis[J]. Journal of Computer-AidedDesign Computer Graphics, 2004, 16(7): 976-983.[19]朱里, 李乔亮, 张婷等. 基于结构相似性的图像质量评价方法[J]. 光电工程, 2007, 34(11): 108-113.Zhu Li, Li Qiao-liang, and Zhang Ting, et al.. Metric of imagequality based on structural similarity[J]. Opto-ElectronicEngineering, 2007, 34(11): 108-113.[20]Wang Z and Alan C. Structural approached to image qualityassessment[M]. In Handbook of Image and Video Processing,Academic Press, 2005: 1-33.[21]黄大江, 郁梅, 杨铀, 蒋刚毅. 基于相似度的立体图像对中右视点图像质量评价方法[J]. 光子学报, 2008, 37(8): 1693-1697.Huang Da-jiang, Yu Mei, Yang You, and Jiang Gang-yi. Rightview image evaluation method for stereoscopic image pairbased similarity measure[J]. Acta Photonica Sinica, 2008,37(8): 1693-1697.[22]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): 856-860.Ye Sheng-nan, Su Kai-na, and Xiao Chuang-bai, et al.. Imagequality assessment based on structural informationextraction[J]. Acta Electronica Sinica, 2008, 36(5): 856-860.[23]王涛, 高新波, 张都应. 一种基于内容的图像质量评价测度[J].中国图象图形学报, 2007, 12(6): 1002-1007.Wang Tao, Gao Xin-bo, and Zhang Du-ying. An objectivecontent-based image quality assessment metric[J]. Journal ofImage and Graphics, 2007, 12(6): 1002-1007.[24]杨婉, 吴乐华, 范晔等. 数字图像客观质量评价方法研究[J].通信技术, 2008, 41(7): 244-246.Yang Wan, Wu Le-hua, and Fan Ye, et al.. Study on objectivedigital image quality assessment methods[J].Communications Technology, 2008, 41(7): 244-246.[25]Yang B, Lei L, and J Yang L. HVS-based structural imagequality assessment model[C]. Proceeding of the 7th worldcongress on Intelligent Control and Automation, Chongqin,China, June 25-27, 2008: 8497-8500.Wang B, Wang Z B, and Liao Y P, et al.. HVS-basedstructural image quality assessment[C]. Proceeding of ICSP,China, 2008: 1194-1197.Mohammad H K, Shabnam S, and Alireza N A, et al..Reduced reference watermark-based image transmissionquality metric[C]. Proc. ISCCSP, Malta, 2008: 526-531.[26]Wang Z, Wu G, and Sheikh H R, et al.. Quality-awareimages[J].IEEE Transactions on Image Processing.2006,15(6):1680-1689[27]Wolf S and Pinson M H. Spatial-temporal distortion metricsfor in-service quality monitoring of any digital videosystem[C]. Proc. SPIE. Boston, MA, USA, 1999, 3845:266-277.[28]Carnec M, Le Callet P, and Barba D. New perceptual qualityassessment method with reduced reference for compressedimages[C]. In Proceedings of SPIE, Lugano, 2003: 1582-1593.[29]Wang Z and Simoneclli E P. Reduced-reference image qualityassessment using a wavelet-domain natural image statisticmodel[C]. Proceedings of SPIE-IST Electronic Imaging -Human Vision and Electronic Imaging X, San Jose, CA, 2005:149-159.[30]蒋刚毅, 王旭, 杨铀, 郁梅. 基于Contourlet 变换的质降参考图像质量评价模型[J]. 光电子激光(录用), 2009.Jiang Gang-yi, Wang Xu, Yang You, and Yu Mei.Contourlet-based reduced-reference image quality assessmentmetric[J]. Journal of Optoelectonics Laser, accepted, 2009.[31]Wang Z, Bovik A C, and Evans B L. Blind measurement ofblocking artifacts in images[C]. IEEE InternationalConference on Image Processing, Vancouver, BC, Canada,2000, 3: 981-984.[32]Sheikh H R, Bovik A C, and Cormack L. No-reference qualityassessment using natural scene statistics: JPEG2000[J].IEEETransactions on Image Processing.2005, 14(11):1918-1927[33]Muijs R and Kirenko I. A no-reference blocking artifactmeasure for adaptive video processing[C]. EUSIPCO2005,2005.[34]Liu H T and Heynderickx I. A no-reference perceptualblockiness metric[C]. Proc. ICASSP, 2008: 865-868.Suresh S, Venkatesh Babu R, and Kim H J. No-referenceimage quality assessment using modified extreme learningmachine classifier[J]. Applied Soft Computing, 2008. (Articlein Press) doi:10.1016/j.asoc.2008.07.005[35]Venkatesh Babu R, Suresh S, and Perkis A. No-referenceJPEG image quality assessment using GAP-RBF[J]. SignalProcessing, 2007, 87(6): 1493-1503.[36][39] ITU, Recommendation BT.1438. Subjective Assessment ofStereoscopic Television Pictures[S], 2000.[37]Stelmach L B and Tam W J. Stereoscopic image coding:Effect of disparate image-quality in left- and right eyeviews[J].Signal Processing: Image Communication.1998,14(1-2):111-117[38]Stelmach L, Tam W J, and Meegan D, et al.. Stereo imagequality: effects of mixed spatial-temporal resolution[J].IEEETransactions on Circuits and Systems for Video Technology.2000, 10(2):188-193[39]IJsselsteijn W, De Ridder H, and Vliegen J. Subjectiveevaluation of stereoscopic images: Effects of cameraparameters and display duration[J].IEEE Transactions onCircuits and Systems for Video Technology.2000, 10(2):225-233[40]Seunti雗s P, Meesters L, and Ijsselsteijn W. Perceived qualityof compressed stereoscopic images: Effects of symmetric andasymmetric JPEG coding and camera separation[J]. ACMTransactions on Applied Perception, 2007, 3(2): 95-109.[41]Boev A, Gotchev A, and Egiazarian K. Towards compoundstereo-video quality metric: A specific encoder-basedframework[C]. IEEE Southwest Symposium on ImageAnalysis and Interpretation, Denver, CO, 2006: 218-222.[42]Horita Y, Kawai Y, and Minami Y, et al.. Quality evaluationmodel of coded stereoscopic color image[C]. Proceedings ofSPIE, Perth, Aust, 2000, 4067: 389-398.[43]Benoit A, Callet P L, and Campisi P, et al.. Qualityassessment of stereoscopic image[J]. EURASIP Journal onImage and Video Processing, 2008, (2008): 1-13.[44]ISO/IEC JTC1/SC29/WG11 and ITU-T SG16 Q.6. Imageand depth quality of asymmetrically coded stereoscopic videofor 3D-TV, W094, 23rd Meeting, San Jose, California, USA,Apr., 2007.[45]Wang X, Yu M, Yang Y, and Jiang G. Research on subjectivestereoscopic image quality assessment[C]. Proc. SPIE Vol.7255, no.725509, San Jose, California, USA, Jan., 2009.
|