图像质量评价方法研究进展

蒋刚毅; 黄大江; 王旭; 郁梅

doi:10.3724/SP.J.1146.2009.00091

图像质量评价方法研究进展

doi: 10.3724/SP.J.1146.2009.00091

蒋刚毅^①②,,
黄大江^①,
王旭,
郁梅

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出版历程
- 收稿日期: 2009-01-19
- 修回日期: 2009-11-05
- 刊出日期: 2010-01-19

Overview on Image Quality Assessment Methods

摘要

摘要: 图像质量评价是图像处理领域的研究热点。该文综合论述了图像质量的主观和客观评价方法，重点阐述了单视点图像质量的客观评价方法。对目前比较常用的峰值信噪比和均方误差全参考评价算法进行了分析并指出其存在的问题。然后，对基于误差敏感度和基于结构相似度的评价算法进行了论述和分析，并对质降和无参考评价方法进行了综述。根据视点的个数，图像质量评价可分为对传统单视点图像和立体图像的评价。该文还对立体图像质量评价算法进行了分析讨论。最后，就图像质量评价算法的进一步发展提出了若干技术与研究方向的展望。
- 图像质量评价; 人类视觉系统; 结构相似度; 立体图像质量评价
Abstract: Image Quality Assessment (IQA) is a hot research area in the field of image processing. In this paper, objective and subjective IQA methods are reviewed, and more attention is paid to the former. PSNR and MSE, which are commonly used to assess the quality, are analyzed in detail and their defects are given. The models based on error sensitivity and structure distortion of images are two critical methods in IQA, and the survey presents their key techniques and challenge problems. The reduced reference and no reference methods are also presented in this survey. Based on the number of view, IQA are classified into two major categories, namely, monoscopic image IQA and stereoscopic image IQA. This survey also makes an introduction of the stereoscopic image IQA. Finally, the survey lists several perspective sub-fields and topics in IQA progress.

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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.

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