Summary
In this paper the new combined video quality metric is proposed, which may be useful for the quality assessment of the compressed video files, especially transmitted using wireless channels. The proposed metric is the weighted combination of three state-of-the-art image quality metrics, which are well correlated with the subjective evaluations. A simple extension of those metrics for the video quality assessment is the averaging of their values for all video frames. Nevertheless, such approach may not lead to satisfactory results for all types of distortions. In this paper the typical distortions introduced during the wireless video transmission have been analyzed using the 160 files available as the LIVE Wireless Video Quality Assessment Database together with the results of subjective quality evaluation. Obtained results are promising and the proposed metric is superior to each of the analyzed ones in the aspect of the linear correlation with subjective scores.
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References
Toet, A., Lucassen, M.P.: A new universal colour image fidelity metric. Displays 24(4-5), 197–207 (2003)
Okarma, K.: Colour image quality assessment using Structural Similarity index and Singular Value Decomposition. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds.) ICCVG 2008. LNCS, vol. 5337, pp. 55–65. Springer, Heidelberg (2009)
Wang, Z., Simoncelli, E.: Reduced-reference image quality assessment using a wavelet-domain natural image statistic model. In: Proc. Human Vision and Electronic Imaging Conf. Proceedings of SPIE, vol. 5666, pp. 149–159 (2005)
Li, X.: Blind image quality assessment. In: Proc. IEEE Int. Conf. Image Proc., pp. 449–452 (2002)
Marziliano, P., Dufaux, F., Winkler, S., Ebrahimi, T.: A no-reference perceptual blur metric. In: Proc. IEEE Int. Conf. Image Proc., pp. 57–60 (2002)
Ong, E.P.: Lin, Lu.W,, Yang, Z., Yao, S., Pan, F., Jiang, L., Moschetti, F.: A no-reference quality metric for measuring image blur. In: Proc. 7th Int. Symp. Signal Proc. and Its Applications, pp. 469–472 (2003)
Wang, Z., Sheikh, H., Bovik, A.: No-reference perceptual quality assessment of JPEG compressed images. In: Proc. IEEE Int. Conf. Image Proc., pp. 477–480 (2002)
Wang, Z., Bovik, A., Evans, B.: Blind measurement of blocking artifacts in images. In: Proc. IEEE Int. Conf. Image Proc., pp. 981–984 (2000)
Eskicioglu, A., Fisher, P., Chen, S.: Image quality measures and their performance. IEEE Trans. Comm. 43(12), 2959–2965 (1995)
Eskicioglu, A.: Quality measurement for monochrome compressed images in the past 25 years. In: Proc. Int. Conf. Acoust. Speech Signal Proc., pp. 1907–1910 (2000)
Wang, Z., Bovik, A.: A universal image quality index. IEEE Signal Proc. Letters 9(3), 81–84 (2002)
Wang, Z., Bovik, A., Sheikh, H., Simoncelli, E.: Image quality assessment: From error measurement to Structural Similarity. IEEE Trans. Image Proc. 13(4), 600–612 (2004)
Okarma, K.: Two-dimensional windowing in the Structural Similarity index for the colour image quality assessment. In: Jiang, X., Petkov, N. (eds.) CAIP 2009. LNCS, vol. 5702, pp. 501–508. Springer, Heidelberg (2009)
Wang, Z., Simoncelli, E., Bovik, A.: Multi-Scale Structural Similarity for image quality assessment. In: Proc. 37th IEEE Asilomar Conf. on Signals, Systems and Computers (2003)
Shnayderman, A., Gusev, A., Eskicioglu, A.: A multidimensional image quality measure using Singular Value Decomposition. In: Proc. SPIE Image Quality and Syst. Perf., vol. 5294(1), pp. 82–92 (2003)
Shnayderman, A., Gusev, A., Eskicioglu, A.: An SVD-based gray-scale image quality measure for local and global assessment. IEEE Trans. Image Proc. 15(2), 422–429 (2006)
Mahmoudi-Aznaveh, A., Mansouri, A., Torkamani-Azar, F., Eslami, M.: Image quality measurement besides distortion type classifying. Optical Review 16(1), 30–34 (2009)
Mansouri, A., Mahmoudi-Aznaveh, A., Torkamani-Azar, F., Jahanshahi, J.A.: Image quality assessment using the Singular Value Decomposition theorem. Optical Review 16(2), 49–53 (2009)
Sheikh, H.R., Bovik, A., de Veciana, G.: An information fidelity criterion for image quality assessment using natural scene statistics. IEEE Trans. Image Proc. 14(12), 2117–2128 (2005)
Sheikh, H.R., Bovik, A.: Image information and visual quality. IEEE Trans. Image Proc. 15(2), 430–444 (2006)
VQEG Final report on the validation of objective models of video quality assessment (2003), http://www.vqeg.org
Sendashonga, M., Labeau, F.: Low complexity image quality assessment using frequency domain transforms. In: Proc. IEEE Int. Conf. Image Proc., pp. 385–388 (2006)
Okarma, K.: Combined full-reference image quality metric linearly correlated with subjective assessment. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010. LNCS (LNAI), vol. 6113, pp. 539–546. Springer, Heidelberg (2010)
Moorthy, A.K., Seshadrinathan, K., Soundararajan, R., Bovik, A.: Wireless video quality assessment: A study of subjective scores and objective algorithms. IEEE Trans. Circuits and Systems for Video Technology 20(4), 513–516 (2010)
Moorthy, A.K., Seshadrinathan, K., Soundararajan, R., Bovik, A.: LIVE Wireless Video Quality Assessment Database (2009), http://live.ece.utexas.edu/research/quality/live_wireless_video.html
Okarma, K., Lech, P.: A statistical reduced-reference approach to digital image quality assessment. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds.) ICCVG 2008. LNCS, vol. 5337, pp. 43–54. Springer, Heidelberg (2009)
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Okarma, K. (2010). Video Quality Assessment Using the Combined Full-Reference Approach. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 2. Advances in Intelligent and Soft Computing, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16295-4_5
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DOI: https://doi.org/10.1007/978-3-642-16295-4_5
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