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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 15 | Page No.: 3061-3066
DOI: 10.3923/jas.2013.3061.3066
New Stereoscopic Image Quality Assessment Metric Based on Three Dimensional-discrete Cosine Transform for 3d Media
Xianwei Tang, Mei Yu , Gangyi Jiang, , Zongju Peng , Feng Shao and Xiaodong Wang

Abstract: This study presents a new stereoscopic image quality assessment metric based on three dimensional-discrete cosine transform (3D-DCT) for 3D media. In the proposed metric, the factors affecting stereoscopic perception are first combined to construct a three dimensional signal (called as 3D stack). 3D stack’s coefficients are calculated in the 3D-DCT domain. Then, Comparisons between reference and distorted stereoscopic images are made in terms of three important coefficients after perceptual weighting. Finally, we get the objective assessment scores of the distorted stereoscopic images. Experimental results show that the proposed metric outperforms relevant existing metrics in respect to correlation with the subjective evaluation and can predict the stereoscopic image quality well.

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How to cite this article
Xianwei Tang, Mei Yu , Gangyi Jiang, , Zongju Peng , Feng Shao and Xiaodong Wang , 2013. New Stereoscopic Image Quality Assessment Metric Based on Three Dimensional-discrete Cosine Transform for 3d Media. Journal of Applied Sciences, 13: 3061-3066.

Keywords: Stereoscopic image, quality assessment and three dimensional-discrete cosine transform (3D-DCT)

REFERENCES
  • Akhter, R., Z.M. Parvez Sazzad, Y. Horita and J. Baltes, 2010. No-reference stereoscopic image quality assessment. Proceedings of the SPIE 21st Conference on Stereoscopic Displays and Applications, January 17, 2010, San Jose, CA., USA -.

  • Brunnstrom, K., D. Hands, F. Speranza and A. Webster, 2009. VQEG validation and ITU standardization of objective perceptual video quality metrics. IEEE Signal Process. Mag., 26: 96-101.
    CrossRef    Direct Link    

  • Gorley, P. and N. Holliman, 2008. Stereoscopic image quality metrics and compression. Proceedings of the SPIE 19th Conference on Stereoscopic Displays and Applications, January 27, 2008, San Jose, CA., USA -.

  • Hewage, C.T.E.R. and M.G. Martini, 2010. Reduced-reference quality metric for 3D depth map transmission. Proceedings of Conference on the True Vision-Capture, Transmission and Display of 3D Video, June 7-9, 2010, Tampere, Finland, pp: 1-4.

  • Lambooij, M., W. IJsselsteijn, D.G. Bouwhuis and I. Heynderickx, 2011. Evaluation of stereoscopic images: Beyond 2D quality. IEEE Trans. Broadcast, 57: 432-444.
    CrossRef    

  • Li, X., A. Dick, C. Shen, A.V.D. Hengel and H. Wang, 2013. Incremental learning of 3d-dct compact representations for robust visual tracking. IEEE Trans. Pattern Anal., 35: 863-881.

  • Ma, L., C. Deng, N.K. Ngi and W. Lin, 2013. Recent advances and challenges of visual signal quality assessment. China Commun., 10: 62-78.
    CrossRef    Direct Link    

  • Moorthy, A.K., C.C. Su, A. Mittal and A.C. Bovik, 2013. Subjective evaluation of stereoscopic image quality. Signal Process. Image Commun., 28: 870-883.
    CrossRef    Direct Link    

  • Seo, J., X. Liu, D. Kim and K. Sohn, 2012. An objective video quality metric for compressed stereoscopic video. Circ. Syst. Signal Process., 31: 1089-1107.
    CrossRef    Direct Link    

  • Shao, F., W. Lin, S. Gu, G. Jiang and T. Srikanthan, 2013. Perceptual full-reference quality assessment of stereoscopic images by considering binocular visual characteristics. IEEE Trans. Image Process., 22: 1940-1953.
    CrossRef    

  • Shen, L., J. Yang and Z. Zhang, 2009. Stereo picture quality estimation based on a multiple channel HVS model. Proceedings of the 2nd International Congress on Image and Signal Processing, October 17-19, 2009, Tianjin, China -.

  • Wallace, G.K., 1991. The JPEG still picture compression standard. Commun. ACM, 38: 18-34.
    CrossRef    Direct Link    

  • Wang, X., M. Yu, Y. Yang and G. Jiang, 2009. Research on subjective stereoscopic image quality assessment. Proceedings of the SPIE Conference on Multimedia Content Access: Algorithms and Systems III, January 18, 2009, San Jose, CA., USA -.

  • Wang, Z., L. Lu and A.C. Bovik, 2004. Video quality assessment based on structural distortion measurement. Signal Process Image, 19: 121-132.

  • Yang, J., C. Hou, Y. Zhou, Z. Zhang and J. Guo, 2009. Objective quality assessment method of stereo images. Proceedings of the 3DTV Conference on The True Vision-Capture, Transmission and Display of 3D Video, May 4-6, 2009, Potsdam, Germany, pp: 1-4.

  • Zhu, Z. and Y. Wang, 2009. Perceptual distortion metric for stereo video quality evaluation. WSEAS Trans. Signal Process., 5: 241-250.
    Direct Link    

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