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Perceptual Quality Assessment of Wireless Video ... - ResearchGate

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∆ HIQM(MOS)RRIQA (MOS)SSIM (MOS)PSNR (dB)1005001005001005001005000 10 20 30 40 50 60 70 80 90 100Frame numberFig. 5. Progression <strong>of</strong> the different quality metrics for the video “Highway drive” [19].perceptual quality assessment approaches.5 ConclusionsIn this paper, we examined the potential <strong>of</strong> perceptualimage quality metrics for quality assessment <strong>of</strong> MJ2video streams in the context <strong>of</strong> wireless channels. Thereduced-reference hybrid image quality metric has beenidentified as suitable for an extension from image tointra-frame coded video applications. The simulationresults have shown that ∆ HIQM outperforms RRIQAin both the overhead that is needed for representing thefeatures <strong>of</strong> MJ2 video frames and the quality predictionperformance.References[1] K. L. Baum, T. A. Kostas, P. J. Sartori, and B. K. Classon, “Performancecharacteristics <strong>of</strong> cellular systems with different linkadaptation strategies,” IEEE Trans. on Vehicular Technology,vol. 52, no. 6, pp. 1497–1507, Nov. 2003.[2] A. J. Goldsmith and S.-G. Chua, “Variable-rate variable-powerMQAM for fading channels,” IEEE Trans. on Communications,vol. 45, no. 10, pp. 1218–1230, Oct. 1997.[3] L. Hanzo, C. H. Wong, and M. S. Lee, Adaptive <strong>Wireless</strong>Transceivers. John Wiley & Sons, 2002.[4] S. Winkler, E. D. Gelasca, and T. Ebrahimi, “<strong>Perceptual</strong> qualityassessment for video watermarking,” in Proc. <strong>of</strong> IEEE Int. Conf.on Information Technology: Coding and Computing, Las Vegas,USA, Apr. 2002, pp. 90–94.[5] A. W. Rix, A. Bourret, and M. P. Hollier, “Models <strong>of</strong> humanperception,” Journal <strong>of</strong> BT Technology, vol. 17, no. 1, pp. 24–34, Jan. 1999.[6] “Method for objective measurements <strong>of</strong> perceived audio quality,”ITU-R, Rec. BS.1387-1, Dec. 2001.[7] “<strong>Perceptual</strong> evaluation <strong>of</strong> speech quality (PESQ), an objectivemethod for end-to-end speech quality assessment <strong>of</strong> narrowband telephone networks and speech codecs,” ITU-T, Rec.P.862, Feb. 2001.[8] F. Dufaux and T. Ebrahimi, “Motion JPEG2000 for wireless applications,”in Proc. <strong>of</strong> First Int. JPEG2000 Workshop, Lugano,Switzerland, July 2003.[9] T. M. Kusuma and H.-J. Zepernick, “A reduced-reference perceptualquality metric for in-service image quality assessment,”in IEEE Symposium on Trends in Communications, Bratislava,Slovakia, Oct. 2003, pp. 71–74.[10] Z. Wang, A. C. Bovik, and B. L. Evans, “Blind measurement<strong>of</strong> blocking artifacts in images,” in Proc. <strong>of</strong> IEEE Int. Conf. onImage Processing, vol. 3, Vancouver, Canada, Sept. 2000, pp.981–984.[11] Z. Wang, H. R. Sheikh, and A. C. Bovik, “No-referenceperceptual quality assessment <strong>of</strong> JPEG compressed images,” inProc. <strong>of</strong> IEEE Int. Conf. on Image Processing, vol. 1, Rochester,USA, Sept. 2002, pp. 477–480.[12] P. Marziliano, F. Dufaux, S. Winkler, and T. Ebrahimi, “A noreferenceperceptual blur metric,” in Proc. <strong>of</strong> IEEE Int. Conf.on Image Processing, vol. 3, Rochester, USA, Sept. 2002, pp.57–60.[13] S. Saha and R. Vemuri, “An analysis on the effect <strong>of</strong> imagefeatures on lossy coding performance,” IEEE Signal ProcessingLetters, vol. 7, no. 5, pp. 104–107, May 2000.[14] A. R. Weeks, Fundamentals <strong>of</strong> Electronic Image Processing.SPIE Optical Engineering Press, 1996.[15] “Methodology for the subjective assessment <strong>of</strong> the quality <strong>of</strong>television pictures,” ITU-R, Rec. BT.500-11, 2002.[16] Z. Wang and E. P. Simoncelli, “Reduced-reference image qualityassessment using a wavelet-domain natural image statisticmodel,” in Proc. <strong>of</strong> SPIE Human Vision and Electronic Imaging,vol. 5666, Mar. 2005, pp. 149–159.[17] Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli,“Image quality assessment: From error visibility to structuralsimilarity,” IEEE Trans. on Image Processing, vol. 13, no. 4,pp. 600–612, Apr. 2004.[18] D. Taubman. (2005) Kakadu s<strong>of</strong>tware: A comprehensiveframework for JPEG2000. [Online]. Available:http://www.kakadus<strong>of</strong>tware.com[19] Arizona State University, <strong>Video</strong> Traces Research Group. (2005)QCIF sequences c○Acticom GmbH. [Online]. Available:http://trace.eas.asu.edu/yuv/qcif.html[20] S. Winkler, Digital <strong>Video</strong> <strong>Quality</strong> - Vision Models and Metrics.John Wiley & Sons, 2005.

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