吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 639-645.doi: 10.13229/j.cnki.jdxbgxb201602045

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No-reference quality assessment based on the statistics in Cntourlet domain

JIAO Shu-hong1, QI Huan1, LIN Wei-si2, TANG Lin1, SHEN Wei-he3   

  1. 1.College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China;
    2.School of Computer Engineering,Nanyang Technological University,Singapore 639798,Singapore;
    3.Science and Technology on Space Physics Laboratory,China Academy of Launch Vehicle Technology,Beijing 100076,China
  • Received:2014-08-28 Online:2016-02-20 Published:2016-02-20

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Abstract: The statistic features in Cntourlet domain are employed to build the natural statistic model and the tested image model first. Then a no-reference assessment algorithm in Contourlet domain (SCIQR) is proposed. Experiment results on subjective databases show that SCIQR outperforms the classical full-reference image quality assessment algorithm and the universal no-reference algorithm no-matter on single distortion type images and on the set of different types of distortion images. This demonstrates that SCIQR has good universality.

Key words: information processing technology, image quality assessment, statistics in Contourlet domain

CLC Number: 

  • TN911
[1] Wang Z, Bovik A C, Sheikh H R, et al. Image quality assessment: from error visibility to struc-tural similarity[J]. IEEE Transactions on Image Processing, 2004,13 (4):600-612.
[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.
Wang Yu-qing.Fusion image assessment based on local variance and singular value decomposition[J]. Optics and Precision Engineering, 2015,23(10z):515-521.
[3] 卢彦飞, 张涛, 章程.应用log-Gabor韦伯特征的图像质量评价[J]. 光学精密工程,2015,23(11):3259-3269.
Lu Yan-fei, Zhang Tao, Zhang Cheng. Image quality assessment using log-Gabor Weber feature[J]. Optics and Precision Engineering,2015,23(11):3259-3269.
[4] Mittal A, Soundararajan R,Bovik A C. Making a "completely blind" image quality analyzer[J]. IEEE Signal Processing Letters, 2013, 20(4):209-212.
[5] Do M N, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation[J]. IEEE Tansaction on Image Processing, 2005, 14(12):2091-2106.
[6] 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.
Lyu Dan, Bi Du-yan. Image quality assessment in DCT domain based on structural similarity[J]. Journal of Jilin University (Engineering and Technology Edition),2011, 41(6): 1771-1776.
[7] Liu Li-xiong, Dong Hong-ping, Huang Hua. No-reference image quality assessment in curvelet domain[J]. Signal Processing: Image Communi-cation, 2014, 29(4), 494-505.
[8] Lu Wen, Zeng Kai, Tao Da-cheng. No-refernece image quality assessment in contourlet domain[J]. Neurocomputing, 2010, 73(6): 784-794.
[9] Moorthy A K, Bovik A C. Blind image quality assessment: from natural scene statistics to perceptual quality[J]. IEEE Transaction on Image Processing,2011,20(12):3350-3364.
[10] Martin D, Fowlkes C, Tal D, et al. A database of human segmented natural images and its applica-tion to evaluating segmentation algorithms and measuring ecological statistics[C]//IEEE Inter-national Conference on Computer Vision, Van-couver, BC, USA, 2001:416-423.
[11] Wang Z, Sheikh H R, Bovik A C. No-reference perceptual quality assessment of JPEG com-pressed images[C]//International Conference on Image Processing, New York, USA, 2002:477-480.
[12] 金波. 基于自然图像信息统计的无参考图像质量评估研究[D]. 无锡: 江南大学物联网工程学院, 2012.
Jin Bo.The research of no-reference image quality assessment based on statistic of natural image information[D].Wuxi:School of Internet of Things Engineering,Jiangnan University,2012.
[13] Sheikh H R, Wang Z, Cormack L, et al. Live im-age quality assessment database release2[DB/OL].[2009-12-14]. http://live.ece.utexas.edu/re-search/quality
[14] Mittal A, Moorthy A K, Bovik A C. No-reference image quality assessment in the spatial domain[J]. IEEE Tansaction on Image Processing, 2012, 21(12):4695-4708.
[15] Larson E C, Chandler D M. Categorical image quality (CSIQ) database 2009[DB/OL]. [2009-12-14].http://vision.okstate.edu/csiq
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