Discriminative Analysis of Pixel Difference towards Picture Quality Prediction

IEEE International Conference on Image Processing

Volumn 3, Issue , 2003, Pages 193-196

  Lin, Weist ^a   Li, Dong ^a   Xue, Ping ^b  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; ESTIMATION; IMAGE CODING; SIGNAL TO NOISE RATIO; TEXTURES; VIDEO SIGNAL PROCESSING; VISION;

PICTURE QUALITY; VISUAL SIGNALS;

IMAGE QUALITY;

EID: 0344703569     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. S. Daly, "The visible differences predictor: an algorithm for the assessment of image fidelity", Digital Images and Human Vision (A.B. Watson, ed.), pp.179-206, MIT Press, 1993.
2. A.B. Watson, J. Hu, J.F. McGowan III, "DVQ: A digital video quality metric based on human vision", Journal of Electronic Imaging, Vol. 10, No. 1, 2001, pp. 20-29.
3. S. Winkler, "A perceptual distortion metric for digital color video", SPIE Proc. Human Vision and Elect. Imaging IV, Vol. 3644, pp. 175-184, 1999.
4. H.R. Wu, and M. Yuen, "A generalize block-edge impairment metric for video coding," IEEE Sig. Proc. Lett., Vol. 4(11), pp.317-320, 1997.
5. K. M.Miyahara, Kotani and V.R.Algazi, "Objective picture quality scale (PQS) for image coding", IEEE Trans. Comm., Vol. 46(9), pp. 1215-1225, 1998.
6. VQEG,"Final Report from the Video Quality Expert Group on the validation of Objective Models of Video Quality Assessment", www.vqeg.org, March 2000.
7. Zhou Wang, Alan C. Bovik and Ligang Lu, "Why Is Image Quality Assessment So Difficult?" IEEE Int'l Conf. Acou., Speech & Sig. Proc., 2002.
8. N. Jayant, J. Johnston and R. Safranek, "Signal compression based on models of human perception", Proc. IEEE, vol. 81, pp1385-1422, Oct. 1993
9. Y. J. Chiu and T. Berger, "A Software-only Videocodec Using Pixelwise Conditional Differential Replenishment and Perceptual Enhancement", IEEE Trans. Circuits Syst. Video Technol., vol. 9, No. 3, pp. 438-450, April, 1999.
10. M. P. Eckert and A. P. Bradley, "Perceptual quality metrics applied to still image compression", Signal Processing, Vol. 70, 1998, pp. 177-200.
11. X.Ran and N.Farvardin, "A perceptually motivated three-component image model-Part I: description of the model", IEEE Trans. Image Processing, Vol.4 (4), pp. 401-415, 1995.
12. P. Longere and X. Zhang and P. B. Delahunt and D. H. Brainaro, "Perceptual Assessment of Demosaicing Algorithm Performance", Proc. IEEE, 90,7,123-132,Jan, 2002
13. VQEG, "Evaluation of new methods for objective testing of video quality: objective test plan", ITU-T/COMT/COM12/C, www.vqeg.org, Sep 1998.