Objective quality assessment for multiexposure multifocus image fusion

IEEE Transactions on Image Processing

Volumn 24, Issue 9, 2015, Pages 2712-2724

  Hassen, Rania ^a   Wang, Zhou ^b   Salama, Magdy M A ^b  

^a Assiut University   (Egypt)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Image fusion; Image quality assessment; Local phase coherence; Multi exposure image fusion; Multi focus image fusion

Indexed keywords

IMAGE QUALITY; QUALITY CONTROL;

IMAGE FUSION TECHNOLOGY; IMAGE QUALITY ASSESSMENT; LOCAL PHASE-COHERENCE; MULTI-EXPOSURE IMAGES; MULTIFOCUS IMAGE FUSION; OBJECTIVE QUALITY ASSESSMENT; STRUCTURE PRESERVATION; SUBJECTIVE EXPERIMENTS;

IMAGE FUSION;

EID: 84930506751     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2015.2428051     Document Type: Article

References (38)

1. Z. Zhang and R. S. Blum, "A categorization of multiscaledecomposition-based image fusion schemes with a performance study for a digital camera application", Proc. IEEE, vol. 87, no. 8, pp. 1315-1326, Aug. 1999.
2. R. S. Blum, Z. Xue, and Z. Zhang, "An overview of image fusion", in Multi-Sensor Image Fusion and Its Applications. New York, NY, USA: Marcel Dekker, 2006.
3. Z. Wang, D. Ziou, C. Armenakis, D. Li, and Q. Li, "A comparative analysis of image fusion methods", IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1391-1402, Jun. 2005.
4. S. T. C. Wong, R. C. Knowlton, R. A. Hawkins, and K. D. Laxer, "Multimodal image fusion for noninvasive epilepsy surgery planning", IEEE Comput. Graph. Appl., vol. 16, no. 1, pp. 30-38, Jan. 1996.
5. A. A. Goshtasby, "Fusion of multi-exposure images", Image Vis. Comput., vol. 23, no. 6, pp. 611-618, 2005.
6. S. Li, J. T.-Y. Kwok, I. W.-H. Tsang, and Y. Wang, "Fusing images with different focuses using support vector machines", IEEE Trans. Neural Netw., vol. 15, no. 6, pp. 1555-1561, Nov. 2004.
7. B. Yang and S. Li, "Multifocus image fusion and restoration with sparse representation", IEEE Trans. Instrum. Meas., vol. 59, no. 4, pp. 884-892, Apr. 2010.
8. G. Piella, "A general framework for multiresolution image fusion: From pixels to regions", Inf. Fusion, vol. 4, no. 4, pp. 259-280, 2003.
9. H. Li, B. S. Manjunath, and S. K. Mitra, "Multisensor image fusion using the wavelet transform", Graph. Models Image Process., vol. 57, no. 3, pp. 235-245, 1995.
10. O. Rockinger, "Image sequence fusion using a shift-invariant wavelet transform", in Proc. Int. Conf. Image Process., vol. 3. Oct. 1997, pp. 288-291.
11. G. Qu, D. Zhang, and P. Yan, "Information measure for performance of image fusion", Electron. Lett., vol. 38, no. 7, pp. 313-315, 2002.
12. C. S. Xydeas and V. Petrovic, "Objective image fusion performance measure", Electron. Lett., vol. 36, no. 4, pp. 308-309, 2000.
13. P.-W. Wang and B. Liu, "A novel image fusion metric based on multiscale analysis", in Proc. 9th Int. Conf. Signal Process., Oct. 2008, pp. 965-968.
14. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity", IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
15. Z. Wang and A. C. Bovik, "A universal image quality index", IEEE Signal Process. Lett., vol. 9, no. 3, pp. 81-84, Mar. 2002.
16. G. Piella and H. Heijmans, "A new quality metric for image fusion", in Proc. IEEE Int. Conf. Image Process., vol. 3. Sep. 2003, pp. III-173-III-176.
17. C. Yang, J.-Q. Zhang, X.-R. Wang, and X. Liu, "A novel similarity based quality metric for image fusion", Inf. Fusion, vol. 9, no. 2, pp. 156-160, 2008.
18. H. Chen and P. K. Varshney, "A human perception inspired quality metric for image fusion based on regional information", Inf. Fusion, vol. 8, no. 2, pp. 193-207, 2007.
19. R. Ferzli and L. J. Karam, "A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)", IEEE Trans. Image Process., vol. 18, no. 4, pp. 717-728, Apr. 2009.
20. C. T. Vu, T. D. Phan, and D. M. Chandler, "S3: A spectral and spatial measure of local perceived sharpness in natural images", IEEE Trans. Image Process., vol. 21, no. 3, pp. 934-945, Mar. 2012.
21. R. Hassen, Z. Wang, and M. Salama, "Multifocus image fusion using local phase coherence measurement", in Proc. 6th Int. Conf. Image Anal. Recognit., 2009, pp. 54-63.
22. R. Hassen, Z. Wang, and M. M. A. Salama, "Image sharpness assessment based on local phase coherence", IEEE Trans. Image Process., vol. 22, no. 7, pp. 2798-2810, Jul. 2013.
23. A. Toet and E. M. Franken, "Perceptual evaluation of different image fusion schemes", Displays, vol. 24, no. 1, pp. 25-37, 2003.
24. Y. Rubner, J. Puzicha, C. Tomasi, and J. M. Buhmann, "Empirical evaluation of dissimilarity measures for color and texture", Comput. Vis. Image Understand., vol. 84, pp. 25-43, 2001.
25. V. Petrović, "Subjective tests for image fusion evaluation and objective metric validation", Inf. Fusion, vol. 8, no. 2, pp. 208-216, 2007.
26. P. Ledda, A. Chalmers, T. Troscianko, and H. Seetzen, "Evaluation of tone mapping operators using a high dynamic range display", ACM Trans. Graph., vol. 24, no. 3, pp. 640-648, 2005.
27. Y. Chen and R. S. Blum, "A new automated quality assessment algorithm for image fusion", Image Vis. Comput., vol. 27, no. 10, pp. 1421-1432, 2009.
28. F. Lukas and Z. L. Budrikis, "Picture quality prediction based on a visual model", IEEE Trans. Commun., vol. 30, no. 7, pp. 1679-1692, Jul. 1982.
29. CCIR, "Method of the subjective assessment of the quality of television pictures", in Proc. 13th Plenary Assembly, Rec., vol. 11. 1974, pp. 65-68.
30. Z. Wang and A. C. Bovik, "Embedded foveation image coding", IEEE Trans. Image Process., vol. 10, no. 10, pp. 1397-1410, Oct. 2001.
31. R. Shen, I. Cheng, J. Shi, and A. Basu, "Generalized random walks for fusion of multi-exposure images", IEEE Trans. Image Process., vol. 20, no. 12, pp. 3634-3646, Dec. 2011.
32. O. Rockinger. Image Fusion Toolbox. [Online]. Available: http://www.metapix.de/toolbox.htm
33. L. L. Thurstone, "A law of comparative judgment", Psychol. Rev., vol. 34, no. 4, pp. 273-286, 1927.
34. R. D. Luce, "Thurstone and sensory scaling: Then and now", Psychol. Rev., vol. 101, no. 2, pp. 271-277, Apr. 1994.
35. R. R. Sokal and C. D. Michener, A Statistical Method for Evaluating Systematic Relationships. Lawrence, KS, USA: Univ. Kansas, 1958.
36. F. Murtagh, "Complexities of hierarchic clustering algorithms: State of the art", Comput. Statist. Quart., vol. 1, no. 2, pp. 101-113, 1984.
37. H. R. Sheikh, M. F. Sabir, and A. C. Bovik, "A statistical evaluation of recent full reference image quality assessment algorithms", IEEE Trans. Image Process., vol. 15, no. 11, pp. 3440-3451, Nov. 2006.
38. P. J. Burt and R. J. Kolczynski, "Enhanced image capture through fusion", in Proc. 4th IEEE Int. Conf. Comput. Vis., May 1993, pp. 173-182.