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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

Analysis and Evaluation of Image Quality Metrics

verfasst von : Tina Samajdar, Md. Iqbal Quraishi

Erschienen in: Information Systems Design and Intelligent Applications

Verlag: Springer India

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Abstract

Image Quality Assessment (IQA) is a very difficult task, yet highly important characteristic for evaluation of the image quality. Widely popular IQA techniques, belonging to objective fidelity, like Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) or subjective fidelity which corresponds to the human visual system (HVS), like, Universal Quality Index (UQI), Structural SIMilarity (SSIM), Feature SIMilarity (FSIM), Feature SIMilarity for color images (FSIMc), Gradient Magnitude Similarity (GSM) have been discussed in this paper. Also quality measured on basis of degradation model and Noise Quality Measure (NQM) has been discussed. Experiments have been conducted on IVC database available online at http://​www.​irccyn.​ec-nantes.​fr/​ivcdb/​ and verified from the CSIQ database and LAR database available online at http://​vision.​okstate.​edu/​?​loc=​csiq and http://​www.​irccyn.​ec-nantes.​fr/​~autrusse/​Databases/​LAR/​. On the basis of the obtained values judgements about the image distortion and hence the optimum image quality metric has been decided. It has been found from all the experiments conducted that FSIM is the best metric for the JPEG, JPEG2000, blur and LAR whereas UQI failed to give better results for all except JPEG2000.

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Literatur
1.
Wang, S., Sekey, A., Gersho, A.: An objective measure for predicting subjective quality of speech coders. IEEE J. Select. Areas Commun. 10(5), 819–829 (1992)CrossRef
2.
Pappas, T.N., Allebach, J.P., Neuhoff, D.L.: Model-based digital halftoning. IEEE Signal Process. Mag. 20(4), 14–27 (2003)CrossRef
3.
Pappas, T.N., Chen, J., Depalov, D.: Perceptually-based techniques for image segmentation and semantic classification. IEEE Commun. Mag. 45, 44–51 (2007)CrossRef
4.
Wolfgang, R.B., Podilchuk, C.I., Delp, E.J.: Perceptual watermarks for digital images and video. Proc. IEEE 87(7), 1108–1126 (1999)CrossRef
5.
6.
Pappas, T.N., Neuhoff, D.L., Ridder, H.D., Zujovic, J.: Image analysis: focus on texture similarity. IEEE 101(9), 1–12 (2013)CrossRef
7.
Wang, Z., Bovik, A.C.: A universal image quality index. IEEE Signal Process. Lett. 9(3), 81–84 (2002)CrossRef
8.
9.
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)CrossRef
10.
Brooks, A.C., Zhao, X., Pappas, T.N.: Structural similarity quality in a coding context: exploring the space of realistic distortions. IEEE 17(8), 1–13 (2008)MathSciNet
11.
Wang, Z., Bovik, A.C.: Mean squared error: love it or leave it? A new look at signal fidelity measures. IEEE Signal Process. Mag. 26, 98–117 (2009)
12.
Zhang, L., Zhang, L., Mou, X., Zhang, D.: FSIM: a feature similarity index for image quality assessment. IEEE Trans. Image Process. 20, 2378–2386 (2011)MathSciNetCrossRef
13.
Mitra, P., Murthy, C.A., Pal, S.K.: Unsupervised feature selection using feature similarity. IEEE Trans. Pattern Anal. Mach. Intell. 24(3), 301–312 (2002)
14.
15.
16.
17.
Damera-Venkata, N., Kite, T.D., Geisler, W.S., Evans, B.L., Bovik, A.C.: Image quality assessment based on a degradation model. IEEE Trans. Image Process. 9, 636–650 (2000)CrossRef
18.
Kaushik, P., Sharma, Y.: Comparison of different image enhancement techniques based upon Psnr & Mse. Int. J. Appl. Eng. Res. 7(11), (2012)
19.
Sheikh, H.R., Sabir, M.F., Bovik, A.C.: A statistical evaluation of recent full reference image quality assessment algorithms. IEEE Trans. Image Process. 15(11), 3440–3451 (2006)CrossRef
20.
Liu, A., Lin, W.: Image quality assessment based on gradient similarity. IEEE Trans. Image Process. 1(4), 1500–1512 (2012)MathSciNet
21.
Kite, T.D., Evans, B.L., Bovik, A.C., Sculley, T.L.: Digital halftoning as 2-D delta-sigma modulation. In: Proceedings of IEEE International Conference on Image Processing, vol. 1, pp. 799–802 (1997)
22.
Lin, Q.: Halftone image quality analysis based on a human vision model. In: Proceedings of SPIE, vol. 1913, pp. 378–389 (1993)
23.
Mitsa, T., Varkur, K.L., Alford, J.R.: Frequency channel based visual models as quantitative quality measures in halftoning. In: Proceedings of SPIE, vol. 1913, pp. 390–401 (1993)
24.
Mitsa, T., Varkur, K.L.: Evaluation of contrast sensitivity functions for the formulation of quality measures incorporated in halftoning algorithms. In: Proceedings of IEEE International Conference Acoustics, Speech, Signal Processing, vol. 3, pp. 313–316 (1992)
25.
Daly, S.: The visible differences predictor: an algorithm for the assessment for image fidelity. In: Proceedings of SPIE Conference on Human Vision, Visual Processing, Digital Display, vol. 1666, pp. 2–15. San Jose, CA (1992)
26.
Lubin, J.: A visual discrimination model for imaging system design and evaluation. In: Vision Models for Target Detection and Recognition, pp. 245–283. World Scientific, Singapore (1995)
27.
Teo, P., Heeger, D.: A model of perceptual image fidelity. In: Proceedings of IEEE Conference on Image Processing, vol. 2, pp. 343–34 (1995)
28.
Barten, P.: Evaluation of subjective image quality with the square-root integral method. J. Opt. Soc. Am. A 7, 2024–2031 (1990)CrossRef
29.
Al-Najjar, Y.A.Y., Soong, D.C.: Comparison of image quality assessment: PSNR, HVS, SSIM, UIQI. Int. J. Sci. Eng. Res. 3(8), 1–5 (2012)
Metadaten
Titel
Analysis and Evaluation of Image Quality Metrics
verfasst von
Tina Samajdar
Md. Iqbal Quraishi
Copyright-Jahr
2015
Verlag
Springer India
Buch
Information Systems Design and Intelligent Applications

Print ISBN: 978-81-322-2246-0

Electronic ISBN: 978-81-322-2247-7

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-81-322-2247-7_38

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