期刊文献+

无参考视频传输质量评价模型 被引量:2

Null-reference video transport quality evaluation model
下载PDF
导出
摘要 根据受众对光源的各类察觉特征,将物理刺激量全域分为多个部分,并依据人眼视觉暂留效果分别映射到感知心理量的区段,以此修正了Weber-Fechner对数法则。并在此基础上提出一种宏块丢失比率与主观保真度的映射模型,该模型以受众的视敏度为依据,利用视星原理计算在最佳观测位置处可察觉的最小失真程度和最小未失真区域,不但体现了失真现象在人眼中的暂留效果,而且反应了损伤在时空中的传播,实现了对损伤全域的评测。模型计算代价小且可部署在任意网络节点中,可得到更贴近受众感受的视频质量。 According to the various characteristics of light source that can be perceived by the audience, the whole domain of stimulation is divided into multiple parts. Each part is mapped to the perception scales by means of the effect of visual staying phenomenon. Thus, in this paper the Weber-Fechner's law is improved first. Then, a mapping model is proposed on the MOS and loss ratio of the macroblock. The model calculates the minimum distortion and undamaged area of which audience awarded by standing at the best observation position ahead of the monitor. It achieves an evaluation of the full field damage by not only reflecting the effect of impairment, which can visually stay in the eyes, but also indicating the spatial extent and temporal propagation of loss. Experiments show that the proposed method can be deployed in any network nodes for its low computational complexity and achieve better video quality in close touch with the audience.
出处 《吉林大学学报(工学版)》 EI CAS CSCD 北大核心 2012年第4期952-957,共6页 Journal of Jilin University:Engineering and Technology Edition
基金 国家自然科学基金项目(60973136 61073164) 吉林省科技发展计划(国际合作)项目(20070708) 华为(深圳)高校合作项目(YBIN2008351)
关键词 计算机应用 Weber-Fechner对数法则 绝对损伤阈 差别损伤阈 视频瞬时质量 computer application Weber-Fechner's law absolute impairment threshold just noticeabledifference(JND) video instantaneous quality
  • 相关文献

参考文献8

  • 1ITU-T Recommendation P. 910. Subjective video quality assessment methods for multimedia applica- tions[ S]. International Telecommunication Union, 1999.
  • 2Van den Branden Lamhrecht C J, Verscheure O. Perceptual quality measure using a spatiotemporal model of the human visual system[C]///Proc SPIE Digital Video Compression: Algorithms and Tech- nologies, 1996,2668 : 450-461.
  • 3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):1771-1776. 被引量:6
  • 4Zhou Wang, Wu Gui-xing, Sheikh Hamid R, et al. Quality aware images[J]. IEEE Transactions on Im- age Processing, 2006, 15(6):1680-1689.
  • 5Welch J, Clark J. A proposed media delivery index (MDI)[S]. RFC 4445,2006.
  • 6Kazantzidis M I. Adaptive multimedia in wireless IP networks[D]. Los Angeles:University of California, 2002.
  • 7Stefan Winkler, Praveen Mohandas. The evolution of video quality measurement: from PSNR to hybrid metrics[J]. IEEE Transactions on Broadcasting, 2008, 54(3) :660-668.
  • 8Parveen A. Spatial and temporal loss determination in packet based video broadcast system in an en- crypted environment[P]. WO 2008/103829 A2, 2008.

二级参考文献10

  • 1佟雨兵,张其善,常青,祁云平.基于NN与SVM的图像质量评价模型[J].北京航空航天大学学报,2006,32(9):1031-1034. 被引量:30
  • 2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):1313-1317. 被引量:62
  • 3Wang Z C, Bovik A C. Modern Image Quality As sessment[M]. New York: Morgan and Claypool Publishing Company, 2006.
  • 4Wang 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.
  • 5Wang Z, Bovik A C,Simoncelli E P. Structural Approaches to Image Quality Assessment [M] New York: Academic Press, 2005.
  • 6Wang Z, Simoncelli E P, Bovik A C. Multi-scale structural similarity for image quality assessment [C]// Proe IEEE Asilomar Conference on Signals, Systems and Computers, Belling, China, 2003 : 1398- 1402.
  • 7ISO/IEC 10918-1 and ITU-T RecommendationT. 81. Information technology digital compression and coding of continuous tone still images: requirements and guidelines[S].
  • 8Sheikh H R, Wang Z, Cormack L,et al. Live image quality assessment database release 2 [DB/OL] [-2009-12-14]. http://live, ece. utexas, edu/resear oh/quality, 2005.
  • 9VQEG. Final report from the video quality experts group on the validation of objective models of video quality assessment, phase Ⅱ (FR-TV2) FDB/OL]. [2009-12-20]. http://www, vqeg. org/,2003.
  • 10李航,路羊,崔慧娟,唐昆.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(4):559-562. 被引量:36

共引文献5

同被引文献22

  • 1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,2006,18(5):735-741. 被引量:47
  • 2王宇庆.基于局部方差和互信息的融合图像质量评价[J].光学精密工程,2015,23(10z):515-521.
  • 3Sheikh H R, Sabir M F, Bovik A C. A statistical e- valuation of recent full reference image quality as- sessment algorithms[J]. IEEE Transactions on lin- age Processing,2006,15(11) :3443-3452.
  • 4Erasmus S J, Smith K C A. An automatic focusing and astigmatism correction system for the SEM and CTEM[J].Journal of Microscopy, 1982,127 (2): 185-199.
  • 5Caviedes J, Oberti F. A new sharpness metric based on local Kurtosis, edge and energy information[J]. Signal Processing: Image Communication, 2004, 19 (2) :147-161.
  • 6Firestone L, Cook K, Culp K, et al. Comparison of autofocus methods for automated mieroscopy[J]. Cytometry, 1991,12(3) : 195-206.
  • 7Marziliano P, Dufaux F, Winkler S, et al. Percep- tual blur and ringing metrics: applications to JPEG2000[J]. Signal Processing: Image Communi- cation, 2004,19 (2) : 163-172.
  • 8Ferzli R, Karam L J. A no-reference objective image sharpness metric based on the notion of just noticea- ble blur (JNB) [J]. IEEE Transactions on Image Processing, 2009,18(4) : 717-728.
  • 9Narvekar N D, Karam L J. A no-reference image blur metric based on the cumulative probability of blur detection (CPBD) [J]. IEEE Transactions on Image Processing,2011,20(9):2678-2685.
  • 10Crete F, Dolmiere T, Ladert P, et al. The blur effect:perception and estimation with a new no-ref- erence perceptual blur metric [C]//Proceeding of SHE Conference on Human Vision and Electronic Imaging XII, Bellingham,2007.

引证文献2

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部