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Frequency Domain Blockiness and Blurriness Meter for Image Quality Assessment
Muhammad Tahir QADRI, Tan, K.T, Ghanbari, Muhammad
Pages - 352 - 360     |    Revised - 01-07-2011     |    Published - 05-08-2011
Volume - 5   Issue - 3    |    Publication Date - July / August 2011  Table of Contents
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KEYWORDS
Blockiness and Blurriness Measurement, Full Reference, Image Quality Assessment
ABSTRACT
Image and video compression introduces distortions (artefacts) to the coded image. The most prominent artefacts added are blockiness and blurriness. Many existing quality meters are normally distortion-specific. This paper proposes an objective quality meter for quantifying the combined blockiness and blurriness distortions in frequency domain. The model first applies edge detection and cancellation, then spatial masking to mimic the characteristics of the human visual system. Blockiness is then estimated by transforming image into frequency domain, followed by finding the ratio of harmonics to other AC components. Blurriness is determined by comparing the high frequency coefficients of the reference and coded images due to the fact that blurriness reduces the high frequency coefficients. Then, both blockiness and blurriness distortions are combined for a single quality metric. The meter is tested on blocky and blurred images from the LIVE image database, with a correlation coefficient of 95-96%.
CITED BY (3)  
1 Ibrar-ul-Haque, M., Tahir Qadri, M., & Siddiqui, N. (2015). Reduced reference blockiness and blurriness meter for image quality assessment. The Imaging Science Journal, 63(5), 296-302.
2 Taylor, W., & Qureshi, F. Z. Automatic Video Editing for Sensor-Rich Videos.
3 FANBO, D. (2013). On Using and Improving Gradient Domain Processing for Image Enhancement (Doctoral dissertation).
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
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5 SlideShare 
6 PdfSR 
1 . Z. Wang and E. P. Simoncelli, “Reduced-Reference Image Quality Assessment Using A Wavelet-Domain Natural Image Statistic Model”, Proceedings of SPIE Human Vision and Electronic Imaging X, vol. 5666, San Jose, CA, 2005, pp. 149–159.
2 . Z. Wang, A. C. Bovik, and B. L. Evans, “Blind measurement of blocking artefacts in images,” in IEEE Int. Conf. Image Processing, September 2000, vol. 3, p. 981-984, IEEE.
3 . L. Meesters and J. B. Martens, ”A single-ended blockiness measure for JPEG-coded images”, Signal Process., Vol. 82, pp. 369-387, 2002.Z.
4 . M. Parvez Sazzad, Y. Kawayoke, and Y. Horita, “No-reference image quality assessment for jpeg2000 based on spatial features,” Signal Processing: Image Communication, vol. 23,no. 4, pp. 257–268, April 2008.
5 . X. Zhu and P. Milanfar, “A no-reference sharpness metric sensitive to blur and noise”,QoMEX, 2009. July 29–31, 2009, San Diego, California, U.S.A.
6 . M. G. Choi, J. H. Jung, and J. W. Jeon, “No-Reference Image Quality Assessment using Blur and Noise,” in International Journal of Computer Science and Engineering 3:2 2009,pp. 76–80.
7 . R. Barland and A. Saadane, “A new reference free approach for the quality assessment of mpeg coded videos,” in 7th Int. Conf. Advanced Concepts for Intelligent Vision Systems,Sep. 2005, vol. 3708, pp. 364–371.
8 . X. Feng and J. P. Allebach, “Measurement of ringing artifacts in jpeg images,” in Proc.SPIE, Jan. 2006, vol. 6076, pp. 74–83.
9 . K. T. Tan, M. Ghanbari, “Frequency domain measurement of blockiness in MPEG-2 coded video,” Proceedings of ICIP 2000, Vol. 3, pp.977 – 980.
10 . Fiorentini, A. and Zoli, M. T., “Detection of a Target Superimposed to a Step Pattern of Illumination. II. Effects of a Just-Perceptible Illumination Step”, Atti. Fond. G. Ronchi, Vol.22, pp. 207-217,1967.
11 . Live website for subjective scores MOS.http://live.ece.utexas.edu/research/quality/
12 . Z. Wang and A.C. Bovik, “A universal image quality index”, IEEE Signal Processing Letters,9(3):81–84, March 2002.
13 . Qadri, M.T. Tan, K.T. and Ghanbari, M., “Frequency domain blockiness measurement for image quality assessment ”, IEEE International Conference on Computer Technology and Development (ICCTD), pp. 282 – 285, Cairo,2-4 Nov. 2010.
Dr. Muhammad Tahir QADRI
University of Essex - United Kingdom
mtahirq@hotmail.com
Dr. Tan, K.T
- Singapore
Dr. Ghanbari, Muhammad
- United Kingdom