Image quality assessment based on wave atoms transform

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2010, Pages 305-308

  Haddad, Zehira ^a,b   Beghdadi, Azeddine ^a   Serir, Amina ^b   Mokraoui, Anissa ^a  

^a UNIVERSITÉ PARIS 13   (France)

^b UNIVERSITY OF SCIENCES AND TECHNOLOGY HOUARI BOUMEDIENE   (Algeria)

Author keywords

Human visual system (HVS); Image quality assessment (IQA); Wave atoms transform

Indexed keywords

ATOMS; IMAGE ANALYSIS; QUALITY CONTROL;

HUMAN VISUAL SYSTEM (HVS); IMAGE ANALYSIS TOOLS; IMAGE QUALITY ASSESSMENT; IMAGE QUALITY ASSESSMENT (IQA); IMAGE QUALITY MEASURE; IMAGE QUALITY METRICS; SUBJECTIVE EVALUATIONS; WAVE ATOMS;

IMAGE QUALITY;

EID: 78651070216     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2010.5653398     Document Type: Conference Paper

References (19)

1. Z. Wang, A. Bovik, H. Sheikh, E. Simoncelli, "Image quality assessment: from error visibility to structural similarity", IEEE Trans. Image Process. 13, 600-612, 2004.
2. C. L. Yang, W. R. Gao and L. M. Po, "Disrecte Wavelet transform-based Structural Similarity for Image Quality Assessment", IEEE ICIP, 377-380, 2008.
3. H.R. Sheikh, A.C. Bovik, G. de Veciana, "An information fidelity criterion for image quality assessment using natural scene statistics", IEEE Trans. Image Process. 14, 2117-2128, 2005.
4. H.R. Sheikh, A.C. Bovik, "Image information and visual quality," IEEE Trans. Imgae Process. 15(2) 430-444, 2006.
5. D. M. Chandler and S. S. Hemami, "VSNR: A Wavelet-based visual signal to noise ratio for natural images", IEEE Trans. Image Process. 16(9) 2284-2298, 2007.
6. D. H. Hubel and T. N. Wiesel, "Receptive fields, binocular interaction and functional architecture in the casts visual cortex", J. Physiol., 160, 106-154, 1962.
7. J. X. Pang, R. Zhang, H. Zhang, X. Huan and Z. K. Liu, "Image quality assessment metrics by using directional projection", Chinese Optics Letters, 6 (7) 491-494, 2008.
8. X. Gao, W. Lu and D. Tao "Wavelet based contourlet in quallity evaluation of digital images" Neurocomputing, 72 (1-3) pp, 378-385, 2008.
9. Mingna Liu and Xin Yang, "Image quality assessment using contourlet transform", optical engineering, 48(10)107201, 2009.
10. L. Demanet, L. Ying, "Wave atom and sparsity of oscillatory patterns", Appl. Comput, vol. 23, Issue 3, pp. 368-387, 2007.
11. H. Führ, L. Demaret, F. Friedrich, "Beyond wavelets: New image representation Paradigms," Survey article, preprint version, 2005.
12. E. Candes, D. Donoho, "Ridgelets: A key to higherdimensional intermittency?", Philosophical transactions Royal Society, Mathematical, physical and engineering sciences, vol. 357, no. 1760, pp.2495- 2509, 1999.
13. E. Candes, D. Donoho, "Curvelets - A surprisingly effective nonadaptive representation for objects with edges, curves and surfaces," Curves and Surfaces, Vanderbilt University Press, Nashville, TN, 1999.
14. A. B. Watson, "The cortex transform: rapid computation of simulated neural images", Computer Vision, Graphics, and Image Processing, vol. 39(3), pp. 311-327, Sept. 1987.
15. A. B. Watson, R. Borthwick and M. Taylor, "Image quality and entropy masking," In Proc. SPIE, vol. 3016, 2-12, 1997.
16. A. Ninassi, O. Le Meur, P. Le-caller and D. Barba, "On the performance of human visual system based image quality asssessment metric using wavelet domain", In proc. SPIE, vol. 6806, 680610-680610-12, 2008.
17. http://live.ece.utexas.edu/.
18. Z. Wang and EP Simoncelli. "Translation insensitive image similartity in complex wavelet domain. ICASSP, Vol. 2, pp. 573- 576, March 2005.
19. A. Beghdadi, B. Pesquet-Popescu, "A new image distortion measure based on wavelet decomposition". ISSPA, vol 1, pp. 485- 488, 2003.