An improved full-reference image quality metric based on structure compensation

2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012

Volumn , Issue , 2012, Pages

  Gu, Ke ^a   Zhai, Guangtao ^a   Yang, Xiaokang ^a   Zhang, Wenjun ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FULL REFERENCES; IMAGE DATABASE; IMAGE DISTORTIONS; IMAGE QUALITY ASSESSMENT; IMAGE QUALITY METRICS; INFORMATION CONTENTS; MULTISCALES; PREDICTION ACCURACY; PREDICTION PERFORMANCE; QUALITY METRICS; QUALITY PREDICTION; STRUCTURAL SIMILARITY INDICES (SSIM); TAMPERE; TID2008;

ALGORITHMS; DATA PROCESSING;

IMAGE QUALITY;

EID: 84874447274     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. G. A. Miller, "The cognitive revolution: a historical perspective," Trends in Cognitive Sciences, vol. 7, no. 3, pp. 141-144, March 2003.
2. Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Transaction on Image Processing, vol. 13, no. 4, pp. 600-612, April 2004.
3. Z. Wang, E. P. Simoncelli and A. C. Bovik, "Multi-scale structural similarity for image quality assessment," IEEE Asilomar Conference Signals, Systems and Computers, November 2003.
4. Z. Wang and Qiang Li, "Information content weighting for perceptual image quality assessment," IEEE Transaction on Image Processing, vol. 20, no. 5, pp. 1185-1198, 2011.
5. H. R. Sheikh and A. C. Bovik, "Image information and visual quality,"IEEE Trans. Image Process., vol. 15, no. 2, pp. 430-444, February 2006.
6. Licia Capodiferro, Giovanni Jacovitti and Elio D. Di Claudio, "Twodimensionalqpproach to full reference image quality Assessment Based on Positional Structural Information," IEEE Trans. Image Process., 2012.
7. H. R. Sheikh, K. Seshadrinathan, A. K. Moorthy, Z. Wang, A. C. Bovikand L. K. Cormack, "Image and video quality assessment research at LIVE," [Online]. Available: http://live.ece.utexas.edu/research/quality/
8. N. Ponomarenko, V. Lukin, A. Zelensky, K. Egiazarian, M. Carli andF. Battisti, "TID2008-A database for evaluation of full-reference visual quality assessment metrics," Advances of Modern Radioelectronics, vol.10, pp. 30-45, 2009.
9. H. R. Sheikh, A. C. Bovik, and G. de Veciana, "An information fidelity criterion for image quality assessment using natural scene statistics,"IEEE Trans. Image Process., vol. 14, no. 12, pp. 2117-2128, 2005.
10. VQEG, "Final report from the video quality experts group on the validation of objective models of video quality assessment," March 2000, http://www.vqeg.org/.
11. Ke Gu, G. Zhai, X. Yang and W. Zhang, "A new psychovisual paradigm for image quality assessment: from differentiating distortion types todiscriminating quality conditions", Signal, Image and Video Processing,2012.