Comparison of Effective Coverage Calculation Methods for Image Quality Assessment Databases
Abstract
This article provides a comparison of a three methods that can be used for calculating effective coverage of image quality assessment database. The aim of this metric is to show how well the database is filled with variety of images. For
each image in the database the Spatial Information (SI) and Colorfulness (CF) metric is calculated. The area of convex hull containing all the points on SI x CF plane is indication of total coverage of the database, but it does not show how efficiently this area is utilized. For this purpose an effective coverage was introduced. An analysis is performed for 16 databases - 13 publicaly available and 3 artificial created for the purpose of showing advantages of the effective coverage.
References
S. Winkler, Analysis of Public Image and Video Databases for Quality
Assessment, Sel. Top. Signal Process. IEEE J., vol. 6, no. 6, pp. 616625,
S. Winkler, ”Image and Video Quality Resources”,
http://stefan.winkler.site/resources.html, [Mar, 2017]
Liu X., Pedersen M., Hardeberg J.Y. (2014) CID:IQ A New Image
Quality Database. In: Elmoataz A., Lezoray O., Nouboud F., Mammass
D. (eds) Image and Signal Processing. ICISP 2014. Lecture Notes in
Computer Science, vol 8509. Springer, Cham
E. C. Larson and D. M. Chandler, ”Most Apparent Distortion: Full-
Reference Image Quality Assessment and the Role of Strategy,” Journal
of Electronic Imaging, 19 (1), March 2010.
Silvia Corchs, Francesca Gasparini, Raimondo Schettini, No Reference
Image Quality classification for JPEG-Distorted Images, In Digital Signal
Processing, volume 30, pp. 86-100, Elsevier, 2014.
Silvia Corchs, Francesca Gasparini, Raimondo Schettini , Noisy Images-
JPEG Compressed: Subjective and Objective Image Quality Evaluation,
In Image Quality and System Performance XI, volume 9016, pp. 90160-,
SPIE, 2014
Patrick Le Callet, Florent Autrusseau, ”Subjective quality assessment IRCCyN/
IVC database”, http://www.irccyn.ec-nantes.fr/ivcdb/ [Mar, 2017]
H.R. Sheikh, Z.Wang, L. Cormack and A.C. Bovik,
”LIVE Image Quality Assessment Database Release 2”,
http://live.ece.utexas.edu/research/quality [Mar, 2017]
H.R. Sheikh, M.F. Sabir and A.C. Bovik, ”A statistical evaluation of
recent full reference image quality assessment algorithms”, IEEE Transactions
on Image Processing, vol. 15, no. 11, pp. 3440-3451, Nov. 2006.
Z. Wang, A.C. Bovik, H.R. Sheikh and E.P. Simoncelli, ”Image quality
assessment: from error visibility to structural similarity,” IEEE Transactions
on Image Processing , vol.13, no.4, pp. 600- 612, April 2004.
D. Ghadiyaram and A.C. Bovik, ”Massive Online Crowdsourced Study
of Subjective and Objective Picture Quality,” IEEE Transactions on Image
Processing, accepted arXiv 2015 [arXiv]
D. Ghadiyaram and A.C. Bovik, ”LIVE In the
Wild Image Quality Challenge Database,” Online:
http://live.ece.utexas.edu/research/ChallengeDB/index.html [Mar, 2017]
Dinesh Jayaraman, Anish Mittal, Anush K. Moorthy and Alan C. Bovik,
Objective Quality Assessment of Multiply Distorted Images, Proceedings
of Asilomar Conference on Signals, Systems and Computers, 2012.
Lina Jin, Joe Yuchieh Lin, Sudeng Hu, Haiqiang Wang, Ping Wang,
Ioannis Katsavounidis, Anne Aaron and C.-C. Jay Kuo. Statistical Study
on Perceived JPEG Image Quality via MCL-JCI Dataset Construction and
Analysis. Electronic Imaging (2016), the Society for Imaging Science and
Technology (IS&T).
Sudeng Hu, Haiqiang Wang and C.-C. Jay Kuo, A GMM-based stair
quality model for human perceived JPEG images, IEEE International
Conference on Acoustic, Speech and Signal Processing, Shanghai, China,
March 20-25, 2016
Joe Yuchieh Lin, Lina Jin, Sudeng Hu, Ioannis Katsavounidis, Anne
Aaron and C.-C. Jay Kuo. Experimental Design and Analysis of JND
Test on Coded Image/Video. SPIE Optical Engineering+ Applications.
International Society for Optics and Photonics, 2015
W. Sun, F. Zhou, Q. M. Liao. MDID: a multiply distorted image database
for image quality assessment, Pattern Recognit. 61C (2017) pp. 153-168.
N. Ponomarenko, V. Lukin, A. Zelensky, K. Egiazarian, M. Carli, F.
Battisti, ”TID2008 - A Database for Evaluation of Full-Reference Visual
Quality Assessment Metrics”, Advances of Modern Radioelectronics, Vol.
, pp. 30-45, 2009.
A.Zaric, N.Tatalovic, N.Brajkovic, H.Hlevnjak, M.Loncaric, E.Dumic,
S.Grgic, ”VCL@FER Image Quality Assessment Database”, AUTOMATIKA
Vol. 53, No. 4, pp. 344354, 2012
K. Ma et al., ”Waterloo Exploration Database: New Challenges for
Image Quality Assessment Models,” in IEEE Transactions on Image
Processing, vol. 26, no. 2, pp. 1004-1016, Feb. 2017.
ANSI T1.801.03 ”Digital transport of one-way video signals - parameters
for objective performance assessment”, American National Standards
Institute, New York, 1996
D. Hasler, S. Susstrunk, ”Measuring colourfulness in natural images”,
Proc. SPIE Human Vision and Electronic Imaging vol. 5007, Santa Clara,
CA, January 21-24, 2003, pp.87-95
M. Buczkowski, ”Measuring the effective coverage of the image
databases”, Measurement Automation Monitoring, vol 63, 2017
M. Buczkowski, R. Stasiski, ”Effective coverage as a new metric for image
quality assessment databases comparison,” International Conference
on Systems, Signals and Image Processing (IWSSIP), Poznan, 2017
B. Delaunay, Sur la spheere vide. A la meemoire de Georges Voronoi,
Bulletin de lAcademie des Sciences de lURSS. Classe des sciences
mathematiques et na, no. 6, pp. 793800, 1934
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