视频图像质量检测技术研究与实践
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摘要
本论文的主要内容是视频图像质量检测技术的研究与实践。视频图像质量的评价方法有很多种,通常从清晰度、色偏、对比度和信噪比等几个方面来衡量,而对图像清晰度的检测是难点也是重点。本文主要从清晰度方面针对两类典型的视频质量问题展开相应的研究,并进行检测和评估。一类是马赛克问题,它是典型的由于传输过程中的网络质量受到干扰而导致信息误码造成的,也有人为因素添加上去的；第二类是斑点问题,它是由于数字播放介质播放次数过多或受到污染而产生的。
本文从视频清晰度入手,建立了视频质量评分标准,采用客观评价法,针对马赛克和斑点这两类常见的视频质量问题,分别建立了质量检测模型,开发了一个视频图像质量检测系统。利用该系统可以对被测视频中出现的质量问题进行全面的检测和分析,并根据检测结果形成检测报告,给出被测视频质量评价等级。
The main content of this paper is video image quality detection technology research and practice.There are a variety of video image quality evaluation methods,usually from aspects such as clarity, color cast, contrast and signal-to-noise ratio to measure,but detection of image clarity is not only difficult but also focus.In this paper,we mainly from the aspects of definition to study two kinds of typical video quality problems and detection and assessment.The first category is the mosaic problem, it is a typical result in loss of information due to the quality of the transmission network disruption caused, and add the mosaic of artificial factors.The second category is the blot problem,it is generated by the excessive number of digital playback media player or contamination.
This paper from the definition of video,establish scoring criteria of video quality,and use of objective evaluation method for two common types of video quality problems such as mosaics and blotches,namely the establishment of quality testing model, the development of a video image quality detection system. The system to comprehensive testing and analysis, and a test report according to the test results can be measured video quality problems, given the measured video quality assessment level.
本文从视频清晰度入手,建立了视频质量评分标准,采用客观评价法,针对马赛克和斑点这两类常见的视频质量问题,分别建立了质量检测模型,开发了一个视频图像质量检测系统。利用该系统可以对被测视频中出现的质量问题进行全面的检测和分析,并根据检测结果形成检测报告,给出被测视频质量评价等级。
The main content of this paper is video image quality detection technology research and practice.There are a variety of video image quality evaluation methods,usually from aspects such as clarity, color cast, contrast and signal-to-noise ratio to measure,but detection of image clarity is not only difficult but also focus.In this paper,we mainly from the aspects of definition to study two kinds of typical video quality problems and detection and assessment.The first category is the mosaic problem, it is a typical result in loss of information due to the quality of the transmission network disruption caused, and add the mosaic of artificial factors.The second category is the blot problem,it is generated by the excessive number of digital playback media player or contamination.
This paper from the definition of video,establish scoring criteria of video quality,and use of objective evaluation method for two common types of video quality problems such as mosaics and blotches,namely the establishment of quality testing model, the development of a video image quality detection system. The system to comprehensive testing and analysis, and a test report according to the test results can be measured video quality problems, given the measured video quality assessment level.
引文
[1]庄自超.面向视频监控的视频质量检测系统的设计与开发[学位论文].华中师范大学.2011
[2]ITU-T P.910.Subjective video quality assessment methods for multimedia applications,1996
[3]ITU-R BT.500-11.Methodology for the subjective assessment of the quality of television pictures,1997
[4]ITU-T Study Group9 Contribution COM 9-80-E,Final report from the Video Quality Experts Group on the validation of objective models of video quality assessment,2000
[5]ITU-T J.144,Objective perceptual video quality measurement techniques for digital cable television in the presence of a full reference,2001
[6]殷晓丽,方向忠,翟广涛.一种JPEG图片的无参考图像质量评价方法[J].计算机工程与应用.2006(18)
[7]陈钊,关景火,徐进,余松煜.基于小波分解的电影胶片划痕损伤数字修复技术研究[J].中国图象图形学报.2006(11)
[8]佟雨兵,胡薇薇,杨东凯,张其善.视频质量评价方法综述[J].计算机辅助设计与图形学学报.2006(05)
[9]李健.视频质量的主客观评估方法研究[学位论文].西安电子科技大学.2009
[10]纪萍.基于人眼视觉特性的视频质量评价模型[学位论文].中国海洋大学.2009
[11]黄轩.符合人眼视觉特性的视频质量评价模型[学位论文].中国科学技术大学.2009
[12]王楠楠,李桂苓.符合人眼视觉特性的视频质量评价模型[J].中国图像图形学报.2001.6：523-527
[13]魏政刚,袁杰辉,蔡元龙.图象质量评价方法的历史、现状和未来[J].中国图象图形学报.1998(05)
[14]莫非.视频质量主观评价辅助系统的设计与实现[学位论文].北京邮电大学.2009
[15]杨付正.数字视频客观质量评估方法研究[学位论文].西安电子科技大学.2005
[16]王鸿南,钟文,汪静,夏德深.图像清晰度评价方法研究[J].中国图象图形学报.2004(07)
[17]王涛.数字图像质量客观评价算法研究[学位论文].西安电子科技大学.2006
[18]佟雨兵,张其善,祁云平.基于PSNR与SSIM联合的图像质量评价模型[J].中国图象图形学报.2006(12)
[19]韩含.视频质量PSNR的无参考评估方法研究[学位论文].西安电子科技大学.2009
[20]邓承志.图像稀疏表示理论及其应用研究[学位论文].华中科技大学.2008
[21]冈萨雷斯.数字图像处理.第二版.北京：电子工业出版社.2005
[22]王迥波.基于图像识别的运动目标检测与跟踪系统[学位论文].大连理工大学.2009
[23]谢义方.数字图像复原算法研究[学位论文].湖南大学.2004
[24]王益艳.图像去噪算法的研究[学位论文].陕西师范大学.2008
[25]关新平,赵立兴,唐英干.图像去噪混合滤波方法[J]中国图象图形学报.2005(03)
[26]王延翔.基于均值算法的混合噪声图像滤波算法的研究与实现[学位论文].北京邮电大学.2010
[27]吴玉莲.图像处理的中值滤波方法及其应用[学位论文].西安电子科技大学.2006
[28]郭小卫,田铮.基于小波域边缘方向特征的SAR图象噪声抑制方法[J].中国图象图形学报.2003(04)
[29]Mark S.Nixon, Alberto S.Aguado.Feature Extraction and Image Processing. Oxford: Clarendon,2002,161-243
[30]甘金来.图像边缘检测算法的比较研究[学位论文].电子科技大学.2005
[31]张晶.图像边缘检测算法的研究[学位论文].山东大学.2006
[32]Canny, J..A Computational Approach to Edge Detection.IEEE Trans. Pattern Analysis and Machine Intelligence,1986,8(6):679-698
[33]王植,贺赛先.一种基于Canny理论的自适应边缘检测方法[J].中国图象图形学报.2004(08)
[34]吴庆伟.运动估计方法研究与序列图像的相关性分析[学位论文].华中科技大学.2005
[35]贺玉文,赵黎,钟玉琢,杨士强.快速鲁棒的全局运动估计算法[J].软件学报.2001(08)
[36]吕航.块匹配运动估计算法的研究[学位论文].吉林大学.2010
[37]王程,王润生.基于MAP框架的图像序列超分辨率和模板匹配[J].计算机学报.2003(08)
[38]Anil C. Kokaram. On Missing Data Treatment for Degraded Video and Film Archives:A Survey and a New Bayesian Approach. IEEE Trans. Image Processing,2004(5):13-03
[39]梁志敏.基于FCM聚类和模板匹配的视频马赛克检测方法[J].软件,2012,33(2)：129-132
[40]徐荣.降质图像序列的斑点检测和修复技术研究[学位论文].大连海事大学.2009
[41]王磊,莫玉龙,戚飞虎.基于Canny理论的边缘提取改善方法[J].中国图象图形学报.1996(03)
[42]宁方美,叶峰.基于网格扩张的视频图像马赛克检测算法[J].计算机与现代化.2011(10)
[43]Xiaodong Huang,Huadong Ma,Haidong Yuan.Video Mosaic Block Detection Based on Template Matching and SVM.Young Computer Scientists,2008
[44]龙振兴,徐进,余松煜,陈立.一种基于改进的SROD算法的电影胶片斑块检测技术[J].中国图象图形学报.2008(10)
[45]徐进,孙军,王兴东,翟广涛.一种改进的基于MRF模型的斑块检测算法[J].中国图象图形学报.2009(11)
[46]徐丽燕.视频压缩中运动估计算法的研究[学位论文].浙江大学.2004
[47]向友君,郭宝龙.运动估计快速块匹配算法[J].计算机工程.2003(13)
[48]邹晓春,冯燕,赵歆波.一种块匹配的快速运动估计算法[J].中国图象图形学报.2006(07)
[49]刘海华,雷奕,谢长生.基于块匹配的运动估计搜索算法研究与实现[J].计算机应用.2006(06)
[50]谌安军,滕升华,邹谋炎.一种用于图像序列斑点去除的运动估计修正方法[J].中国科学院研究生院学报.2006(03)
[51]M. J. Nadenau,S. K. Mitra. Blotch and scratch detection in image sequences based on rank ordered differences. Workshop on Time-Varying Image Processing and Moving Object Recognition,1998(9)
[52]P. M. B. Van Roosmalen.Restoration of archived film and video [Dissertation]. Delft University of Technology, The Netherlands,1999
[53]Sorin Tilie,Isabelle Bloch,Louis Laborelli.Fusion of complementary detectors for improving blotch detection in digitized films.Pattern Recognition Letters,2007
[54]Attila Licsar. Trainable blotch detection on high resolution archive films minimizing the human interaction. Machine Vision and Applications,2007,21(5)
[55]S. Wei, R. Zhang, P. Hao, and Y. Ding.Blotch detection based on texture matching and adaptive multi-threshold. Internat. Conf. on Image and Graphics,2009,256-261
[56]王震,王执铨,茅耀斌.基于纹理方向的描述和对具有方向性纹理图象的分类与分割[J].中国图象图形学报.2002(12)
[57]Krishna P J,Santhosh Kumar S.Blotch Removal for Old Movie Restoration using Legendre moment and Particle Swarm Optimization. Internat. Conf. on Image and Graphics,2011(11)
[58]周磊.电影胶片修复及噪声处理关键技术的研究[学位论文].上海交通大学.2008
[59]郑慧颖.图像修复和视频修复算法的研究[学位论文].吉林大学.2009
[2]ITU-T P.910.Subjective video quality assessment methods for multimedia applications,1996
[3]ITU-R BT.500-11.Methodology for the subjective assessment of the quality of television pictures,1997
[4]ITU-T Study Group9 Contribution COM 9-80-E,Final report from the Video Quality Experts Group on the validation of objective models of video quality assessment,2000
[5]ITU-T J.144,Objective perceptual video quality measurement techniques for digital cable television in the presence of a full reference,2001
[6]殷晓丽,方向忠,翟广涛.一种JPEG图片的无参考图像质量评价方法[J].计算机工程与应用.2006(18)
[7]陈钊,关景火,徐进,余松煜.基于小波分解的电影胶片划痕损伤数字修复技术研究[J].中国图象图形学报.2006(11)
[8]佟雨兵,胡薇薇,杨东凯,张其善.视频质量评价方法综述[J].计算机辅助设计与图形学学报.2006(05)
[9]李健.视频质量的主客观评估方法研究[学位论文].西安电子科技大学.2009
[10]纪萍.基于人眼视觉特性的视频质量评价模型[学位论文].中国海洋大学.2009
[11]黄轩.符合人眼视觉特性的视频质量评价模型[学位论文].中国科学技术大学.2009
[12]王楠楠,李桂苓.符合人眼视觉特性的视频质量评价模型[J].中国图像图形学报.2001.6：523-527
[13]魏政刚,袁杰辉,蔡元龙.图象质量评价方法的历史、现状和未来[J].中国图象图形学报.1998(05)
[14]莫非.视频质量主观评价辅助系统的设计与实现[学位论文].北京邮电大学.2009
[15]杨付正.数字视频客观质量评估方法研究[学位论文].西安电子科技大学.2005
[16]王鸿南,钟文,汪静,夏德深.图像清晰度评价方法研究[J].中国图象图形学报.2004(07)
[17]王涛.数字图像质量客观评价算法研究[学位论文].西安电子科技大学.2006
[18]佟雨兵,张其善,祁云平.基于PSNR与SSIM联合的图像质量评价模型[J].中国图象图形学报.2006(12)
[19]韩含.视频质量PSNR的无参考评估方法研究[学位论文].西安电子科技大学.2009
[20]邓承志.图像稀疏表示理论及其应用研究[学位论文].华中科技大学.2008
[21]冈萨雷斯.数字图像处理.第二版.北京：电子工业出版社.2005
[22]王迥波.基于图像识别的运动目标检测与跟踪系统[学位论文].大连理工大学.2009
[23]谢义方.数字图像复原算法研究[学位论文].湖南大学.2004
[24]王益艳.图像去噪算法的研究[学位论文].陕西师范大学.2008
[25]关新平,赵立兴,唐英干.图像去噪混合滤波方法[J]中国图象图形学报.2005(03)
[26]王延翔.基于均值算法的混合噪声图像滤波算法的研究与实现[学位论文].北京邮电大学.2010
[27]吴玉莲.图像处理的中值滤波方法及其应用[学位论文].西安电子科技大学.2006
[28]郭小卫,田铮.基于小波域边缘方向特征的SAR图象噪声抑制方法[J].中国图象图形学报.2003(04)
[29]Mark S.Nixon, Alberto S.Aguado.Feature Extraction and Image Processing. Oxford: Clarendon,2002,161-243
[30]甘金来.图像边缘检测算法的比较研究[学位论文].电子科技大学.2005
[31]张晶.图像边缘检测算法的研究[学位论文].山东大学.2006
[32]Canny, J..A Computational Approach to Edge Detection.IEEE Trans. Pattern Analysis and Machine Intelligence,1986,8(6):679-698
[33]王植,贺赛先.一种基于Canny理论的自适应边缘检测方法[J].中国图象图形学报.2004(08)
[34]吴庆伟.运动估计方法研究与序列图像的相关性分析[学位论文].华中科技大学.2005
[35]贺玉文,赵黎,钟玉琢,杨士强.快速鲁棒的全局运动估计算法[J].软件学报.2001(08)
[36]吕航.块匹配运动估计算法的研究[学位论文].吉林大学.2010
[37]王程,王润生.基于MAP框架的图像序列超分辨率和模板匹配[J].计算机学报.2003(08)
[38]Anil C. Kokaram. On Missing Data Treatment for Degraded Video and Film Archives:A Survey and a New Bayesian Approach. IEEE Trans. Image Processing,2004(5):13-03
[39]梁志敏.基于FCM聚类和模板匹配的视频马赛克检测方法[J].软件,2012,33(2)：129-132
[40]徐荣.降质图像序列的斑点检测和修复技术研究[学位论文].大连海事大学.2009
[41]王磊,莫玉龙,戚飞虎.基于Canny理论的边缘提取改善方法[J].中国图象图形学报.1996(03)
[42]宁方美,叶峰.基于网格扩张的视频图像马赛克检测算法[J].计算机与现代化.2011(10)
[43]Xiaodong Huang,Huadong Ma,Haidong Yuan.Video Mosaic Block Detection Based on Template Matching and SVM.Young Computer Scientists,2008
[44]龙振兴,徐进,余松煜,陈立.一种基于改进的SROD算法的电影胶片斑块检测技术[J].中国图象图形学报.2008(10)
[45]徐进,孙军,王兴东,翟广涛.一种改进的基于MRF模型的斑块检测算法[J].中国图象图形学报.2009(11)
[46]徐丽燕.视频压缩中运动估计算法的研究[学位论文].浙江大学.2004
[47]向友君,郭宝龙.运动估计快速块匹配算法[J].计算机工程.2003(13)
[48]邹晓春,冯燕,赵歆波.一种块匹配的快速运动估计算法[J].中国图象图形学报.2006(07)
[49]刘海华,雷奕,谢长生.基于块匹配的运动估计搜索算法研究与实现[J].计算机应用.2006(06)
[50]谌安军,滕升华,邹谋炎.一种用于图像序列斑点去除的运动估计修正方法[J].中国科学院研究生院学报.2006(03)
[51]M. J. Nadenau,S. K. Mitra. Blotch and scratch detection in image sequences based on rank ordered differences. Workshop on Time-Varying Image Processing and Moving Object Recognition,1998(9)
[52]P. M. B. Van Roosmalen.Restoration of archived film and video [Dissertation]. Delft University of Technology, The Netherlands,1999
[53]Sorin Tilie,Isabelle Bloch,Louis Laborelli.Fusion of complementary detectors for improving blotch detection in digitized films.Pattern Recognition Letters,2007
[54]Attila Licsar. Trainable blotch detection on high resolution archive films minimizing the human interaction. Machine Vision and Applications,2007,21(5)
[55]S. Wei, R. Zhang, P. Hao, and Y. Ding.Blotch detection based on texture matching and adaptive multi-threshold. Internat. Conf. on Image and Graphics,2009,256-261
[56]王震,王执铨,茅耀斌.基于纹理方向的描述和对具有方向性纹理图象的分类与分割[J].中国图象图形学报.2002(12)
[57]Krishna P J,Santhosh Kumar S.Blotch Removal for Old Movie Restoration using Legendre moment and Particle Swarm Optimization. Internat. Conf. on Image and Graphics,2011(11)
[58]周磊.电影胶片修复及噪声处理关键技术的研究[学位论文].上海交通大学.2008
[59]郑慧颖.图像修复和视频修复算法的研究[学位论文].吉林大学.2009