Browse > Article

No-reference objective quality assessment of image using blur and blocking metric  

Jeong, Tae-Uk (Dept. Electrical & Electronic Engineering, Yonsei University)
Kim, Young-Hie (University College, Yonsei University)
Lee, Chul-Hee (Dept. Electrical & Electronic Engineering, Yonsei University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.3, 2009 , pp. 96-104 More about this Journal
Abstract
In this paper, we propose a no-reference objective Quality assessment metrics of image. The blockiness and blurring of edge areas which are sensitive to the human visual system are modeled as step functions. Blocking and blur metrics are obtained by estimating local visibility of blockiness and edge width, For the blocking metric, horizontal and vertical blocking lines are first determined by accumulating weighted differences of adjacent pixels and then the local visibility of blockiness at the intersection of blocking lines is obtained from the total difference of amplitudes of the 2-D step function which is modelled as a blocking region. The blurred input image is first re-blurred by a Gaussian blur kernel and an edge mask image is generated. In edge blocks, the local edge width is calculated from four directional projections (horizontal, vertical and two diagonal directions) using local extrema positions. In addition, the kurtosis and SSIM are used to compute the blur metric. The final no-reference objective metric is computed after those values are combined using an appropriate function. Experimental results show that the proposed objective metrics are highly correlated to the subjective data.
Keywords
no-reference quality assessment; Blur metric; blur metric; visibility of blockiness; Edge width;
Citations & Related Records
연도 인용수 순위
  • Reference
1 International Telecommunication Union, 'Objective perceptual multimedia video quality measurement in the presence of a full reference,' ITU-T Recommendation J.247, 2008
2 D. Li, R. M. Mersereau, and S. Simske, 'blur identification based on kurtosis minimization,' in Proc. IEEE Int. Conf. Image Processing, vol. 1, pp905-908, Genova, Italy, Sep. 2005
3 H. R. Sheikn, Z. Wang, L. Cormack and A. C. Bovik, 'LIVE image quality assessment database,' http://live.ece.utexas.edu/research/quality
4 H. Hu and G. de Haan, 'Low cost robust blur estimator,' in Proc. IEEE Int. Conf. Image Processing, pp.617-620, 8-11, Atlanta, GA, USA, Oct. 2006
5 M. Basu, 'Gaussian-based edge-detection method-a survey,' IEEE Trans. System, Man and Cybernetics, Part C, vol. 32, Issue 3, pp. 252-260, Aug. 2002   DOI   ScienceOn
6 International Telecommunication Union, "Perceptual audiovisual quality measurement techniques for multimedia services over digital cable television networks in the presence of a reduced bandwidth reference," ITU-T Recommendation J.246 , 2008
7 Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, 'image quality assessment: from error visibility to structural similarity,' IEEE Trans. Image Processing, vol. 13. no. 4, pp.600-612, Apr. 2004   DOI   ScienceOn
8 Z. Wang, A. C. Bovik and B. L. Evans, 'Blind measurement of blocking artifacts in images,' in Proc. IEEE Int. Conf. Image Processing, vol. 3, pp.981-984, Vancouver, BC, Canada, Sep., 2000
9 K. T. Tan and M. Ghanbari, 'Frequency domain measurement of blockiness in MPEG-2 coded video,' in Proc. IEEE Int. Conf. Image processing, vol.3, pp. 977-980, Vancouver, BC, Canada, Sep. 2000
10 K. Suzuki, I. Horiba and N. Sugie, 'Neural edge enhancer for supervised edge enhancement from noisy images,' IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, Issue 12, pp.1582-1596, Dec. 2003   DOI   ScienceOn
11 International Telecommunication Union, 'Objective perceptual video quality measurement techniques for digital cable television in the presence of a full reference,' ITU-R Recommendation BT.1683, 2004
12 P. Marziliano, F. Dufaux, S. Winkler, and T. Ebrahimi, Perceptual blur and ringing metrics: Application to JPEG2000," Signal Process.:Image Commun., vol. 19, no. 2, pp.163-172, Feb. 2002   DOI   ScienceOn
13 A. C. Bovik and S. Liu, 'DCT-domain blind measurement of blocking artifacts in DCT-coded images,' in Proc. IEEE Int. Conf. Acoust, Speech, and Signal Processing, vol. 3, pp.1725-1728. Salt Lake City, UT, USA, May. 2001
14 C. Lee, O. Kwon, 'Objective measurements of video quality using wavelet transform,' Optical Engineering, vol. 42(1), pp.265-272, Jan. 2003   DOI   ScienceOn
15 International Telecommunication Union, "Objective perceptual video quality measurement techniques for digital cable television in the presence of a full reference," ITU-T Recommendation J.144, 2004.
16 L. Meesters and J.-B. Martens, 'A single-ended blockiness measure for JPEG-coded images,' Signal Processing, vol. 82, pp.369-387, 2002   DOI   ScienceOn