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基于自然场景统计的无参考图像质量评价 被引量：1

Summary of No-reference Image Quality Assessment Based on Natural Sense Statistics
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摘要 阐述了NSS的相关特性;对现有的评价方法进行分类介绍,对目前比较常用的算法进行分析研究,并在已公开的数据库上对算法进行分析,并对NSS无参考图像质量评价提出了若干技术与发展上的展望。 This paper described the relevant characteristics of NSS, then introduced existing evaluation methods to the classification, carried out a study in some common algorithms, and analyzed algorithms in the published databases. Finally, this paper gave the development direction and techniques of no-reference image quality assessment based on NSS.
作者 薛松 李芳
机构地区 陆军军官学院研究生管理大队三队 解放军电子工程学院政治部
出处 《四川兵工学报》 CAS 2014年第4期119-123,共5页 Journal of Sichuan Ordnance
关键词 图像处理 图像质量评价 无参考算法 自然场景统计 image processing image quality assessment no-reference algorithm natural sense statistics
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献16

  • 1Moorthy A K, Bovik A C. Statistics of Natural Image Distor- tions [ C]//IEEE International Conference on Acoustics Speech and Signal Processing. Dallas, Texas, 2010:14 -19.
  • 2WANG Z, Bovik A C. Reduced and no reference visual quality assessment-The natural scene statistic model ap- proach [ J ]. IEEE Signal Processing Magazine, Special Issue on Multimedia Quality Assessment, 2011,29(6) : 29 -40.
  • 3高新波,路文.视觉信息质量评价方法[M].西安:西安电子科技大学出版社,2011.
  • 4Sheikh Hamid R, Bovik A. C, Cormack Lawrence. No- Reference Quality Assessment Using Natural Scene Statis- tics: JPEG2000 [J]. IEEE Trans. Image Processing,2005, 14(11): 1918-1927.
  • 5ANUSH Krishna Moorthy, Alan Conrad Bovik. A Two-Step Framework for Constructing Blind Image Quality Indices [J]. IEEE Signal Processing Letters, 2010, 14(5) : 513 - 516.
  • 6Saad M A, Bovik A C, Charrier C. A DCT statistics based blind image quality index[ J]. IEEE Signal Processing Let- ters, 2010, 17(6): 583-586.
  • 7Saad M A, Bovik A C. Blind image quality assessment: A natural scene statistics approach in the DCT domain [ J ]. IEEE Transactions on Image Processing, 2012, 21 (8): 3339 - 3352.
  • 8Moorthy A K, Bovik A C. Blind image quality assessment: From natural scene statistics to perceptual quality [ J ]. IEEE Transcations on Image Processing, 2011, 20 (12) : 3350 - 3364.
  • 9Mittal A, Moorthy A K, Bovik A C. No-reference image quality assessment in the spatial domain [ J ]. IEEE Trans- actions on Image Processing, 2012, 21 (12) : 4695 -4708.
  • 10Mittal A,Soundarajan R,Bovik A C. Making a Completely Blind' Image Quality Analyzer [ J ]. IEEE Signal Processing Letters, 2013, 20(3): 209-212.

二级参考文献8

  • 1Wang Z,Lu L, Bovik A C. Video quality assessment based on structural distortion measurement [J]. Signal Process : Image Communication ,2004,19 (2) : 121 - 132.
  • 2Wang Z, Simoncelli E, Bovik A C, et al. Multiscale structural similarity for image quality assessment [C]//IEEE Asilomar Conference on Signals, System and Computers. USA: [ s. n. ] ,2003.
  • 3Chandler D M,Hemami S S. VSNR:A wavelet-based visual signal-to-noise ratio for natural images[J]. IEEE Transactions on Image Process, 2007, 16 ( 19 ) : 2284 - 2298.
  • 4Pinson M H, Wolf S. A new standardized method for objectively measuring video quality [ J ]. IEEE Transactions on Broadcast,2004,50 (3) : 312 - 322.
  • 5Sheikh H R, Bovik A C. Image information and visual quality [ J ]. IEEE Transactions on Image Process, 2006, 15(2) :430-444.
  • 6Nie Y, Ma K. Adaptive rood pattern search for fast block-matching motion estimation[J]. IEEE Transactions on Image Process ,2002,11 (12) : 1442 - 1449.
  • 7Seshadrinathan K, Soundararajan R, Bovik A C, et al. LIVE Video Quality Database [ EB/OL ]. [ 2009-06-28 ]. http ://live. ece. utexas, edu/research/quality/live_video. html.
  • 8Final report from the video quality experts group on the validation of objective quality metrics for video quality assessment[ EB/OL]. [2010 - 05 - 20]. http://www. its. bldrdoc.gov/vqeg/projects/frtv_phaseI.

共引文献14

同被引文献8

引证文献1

二级引证文献1

四川兵工学报
2014年 第4期

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