LGPS: Phase based image quality assessment metric

IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation

Volumn , Issue , 2007, Pages 605-609

  Guangtao, Zhai ^a   Wenjun, Zhang ^a   Yi, Xu ^a   Weisi, Lin ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Image processing; Image quality assessment; Log gabor transform; Peak signal to noise ratio

Indexed keywords

DIGITAL IMAGE STORAGE; FILTER BANKS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGING SYSTEMS; OPTICAL PROJECTORS; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; TECHNICAL PRESENTATIONS;

COMPARATIVE STUDIES; DIGITAL IMAGE PROCESSING; FILTER PAIRS; GABOR FILTERS; GABOR TRANSFORMS; IMAGE DETAILS; IMAGE QUALITY ASSESSMENT; LOG GABOR TRANSFORM; PEAK SIGNAL TO NOISE RATIO; PERCEIVED QUALITIES; PERCEPTUAL QUALITIES; PHASE BASED; PHASE MAPS; REFERENCE IMAGES; SIMILARITY METRIC;

IMAGE QUALITY;

EID: 47949095094     PISSN: 15206130     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIPS.2007.4387618     Document Type: Conference Paper

References (12)

1. Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Transactions on Image Processing, vol.13, no.4, pp.600-612, April 2004.
2. M. L. Calvo, A. Manzanares, M. Chevalier, and V. Lakshminarayanan, "Edge image quality assessment: A new formulation for degraded edge imaging," Image and Vision Computing, vol. 16, no. 14, pp. 1003-1017, 1998.
3. W. Osberger, N. Bergmann, and A. Maeder, "Automatic image quality assessment technique incorporating higher level perceptual factors," IEEE International Conference on Image Processing, 1998, pp. 414-418.
4. D. Gabor, "Communication theory and physics," Information Theory, IEEE Transactions on, vol. 1, no. 1, pp. 48-59, 1953.
5. J. G. Daugman, "Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters," Journal of the Optical Society of America, vol. 2, no. 7, pp. 1160-1169, 1985.
6. D. J. Field, "Relations between the statistics of natural images and the response properties of cortical cells," J. of the Optical Society of America, vol. 4, pp. 2379-2394, 1987.
7. A. V. Oppenheim and J. S. Lim, "The importance of phase in signals," Proceedings of the IEEE, vol. 69, no. 5, pp. 529-541, 1981.
8. Rajagopalan, S.and Robb, R., "Phase-based image quality assessment," Proceedings of SPIE, vol. 5749, no. 1, pp. 373-382, 2005.
9. http://live.ece.utexas.edu/research/quality/subjective.htm.
10. Peter Kovesi, "Invariant measures of image features from phase information," PhD thesis, University of western Australian, 1996.
11. S.J. Anderson, D. C. Burr, "Spatial and temporal selectivity of the human motion detection system," Vision Research, vol. 25, No. 8, pp. 1147-1154, 1985.
12. VQEG, "Final Report from the Video Quality Experts Group on the Validation of Objective Models of Video Quality Assessment", Mar. 2000, http://www.vqeg.org.