Reduced-reference image quality assessment with visual information fidelity

IEEE Transactions on Multimedia

Volumn 15, Issue 7, 2013, Pages 1700-1705

  Wu, Jinjian ^a   Lin, Weisi ^b   Shi, Guangming ^a   Liu, Anmin ^b  

^a XIDIAN UNIVERSITY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Image quality assessment; information fidelity; internal generative mechanism; reduced reference

Indexed keywords

EVALUATION ACCURACY; GENERATIVE MECHANISM; HUMAN VISUAL SYSTEMS; IMAGE QUALITY ASSESSMENT; INFORMATION FIDELITY; REDUCED REFERENCE; REDUCED-REFERENCE IMAGE QUALITY ASSESSMENTS; VISUAL INFORMATION FIDELITY;

MULTIMEDIA SYSTEMS; SIGNAL PROCESSING;

IMAGE QUALITY;

EID: 84886508738     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2013.2266093     Document Type: Article

References (21)

1. W. Lin and C.-C. J. Kuo, "Perceptual visual quality metrics: A survey," J. Visual Commun. Image Represent., vol. 22, no. 4, pp. 297-312, 2011.
2. Z.Wang, E. Simoncelli, and A. Bovik, "Multiscale structural similarity for image quality assessment," in Conf. Record 37th Asilomar Conf. Signals, Systems and Computers, 2003, 2003, vol. 2, pp. 1398-1402, Vol. 2.
3. Z. Wang and E. P. Simoncelli, "Reduced-reference image quality assessment using a wavelet-domain natural image statistic model," in SPIE, 2005, vol. 5666, pp. 149-159. (Pubitemid 40949010)
4. Q. Li and Z. Wang, "Reduced-reference image quality assessment using divisive normalization-based image representation," IEEE J. Select. Topics Signal Process., vol. 3, no. 2, pp. 202-211, Apr. 2009.
5. X. Gao,W. Lu, D. Tao, and X. Li, "Image quality assessment based on multiscale geometric analysis," IEEE Trans. Image Processing, vol. 18, no. 7, pp. 1409-1423, Jul. 2009.
6. L. Ma, S. Li, F. Zhang, and K. N. Ngan, "Reduced-reference image quality assessment using reorganized DCT-based image representation," IEEE Trans.Multimedia, vol. 13, no. 4, pp. 824-829, Aug. 2011.
7. R. Soundararajan and A. Bovik, "RRED indices: Reduced reference entropic differencing for image quality assessment," IEEE Trans. Image Process., vol. 21, no. 2, pp. 517-526, Feb. 2012.
8. D. C. Knill and R. Pouget, "The bayesian brain: The role of uncertainty in neural coding and computation," Trends Neurosci., vol. 27, pp. 712-719, 2004. (Pubitemid 39488074)
9. K. Friston, "The free-energy principle: A unified brain theory?," Nat. Rev. Neurosci., vol. 11, no. 2, pp. 127-138, Feb. 2010.
10. G. Zhai, X. Wu, X. Yang, W. Lin, and W. Zhang, "A psychovisual quality metric in free energy principle," IEEE Trans. Image Process., to be published.
11. R. Sternberg, Cognitive Psychology, 3rd ed. Belmont, CA, USA: Thomson Wadsworth, Aug. 2003.
12. J. Wu, F. Qi, and G. Shi, "Self-similarity based structural regularity for just noticeable difference estimation," J. Visual Commun. Image Represent., vol. 23, no. 6, pp. 845-852, 2012.
13. X. Zhang and X. Wu, "Image interpolation by adaptive 2-D autoregressive modeling and soft-decision estimation," IEEE Trans. Image Process., vol. 17, no. 6, pp. 887-896, Jun. 2008. (Pubitemid 351780121)
14. K. Friston, J. Kilner, and L. Harrison, "A free energy principle for the brain," J. Physiol., Paris, vol. 100, no. 1-3, pp. 70-87, Sep. 2006. (Pubitemid 44827686)
15. C. E. Shannon, "A mathematical theory of communication," Bell Syst. Tech. J., vol. 27, pp. 379-423, Jul. 1948.
16. G.-H. Chen, C.-L. Yang, L.-M. Po, and S.-L. Xie, "Edge-Based structural similarity for image quality assessment," in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, 2006 (ICASSP 2006), May 2006, vol. 2, p. II.
17. A. Liu, W. Lin, and M. Narwaria, "Image quality assessment base on gradient similarity," IEEE Trans. Image Process., vol. 21, no. 4, pp. 1500-1512, Apr. 2012.
18. H. R. Sheikh,K. Seshadrinathan, A. K. Moorthy, Z.Wang,A. C. Bovik, and L. K. Cormack, Image and Video Quality Assessment Research at Live, 2004. [Online]. Available: http://live.ece.utexas.edu/research/quality/.
19. N. Ponomarenko and K. Egiazarian, Tampere Image Database 2008 TID2008, 2008. [Online]. Available: http://www.ponomarenko.info/tid2008.htm.
20. Final Report From the Video Quality Experts Group on the Validation of Objective Models of Video Quality Assessment II, 2003, video Quality Expert Group (VQEG). [Online]. Available: http://www.vqeg. org/.
21. A. K. Moorthy and A. C. Bovik, "A two-step framework for constructing blind image quality indices," IEEE Signal Process. Lett., vol. 17, no. 5, pp. 513-516, May 2010.