Image fusion based on nonsubsampled contourlet transform for infrared and visible light image

Infrared Physics and Technology

Volumn 61, Issue , 2013, Pages 94-100

  Adu, Jianhua ^a   Gan, Jianhong ^a   Wang, Yan ^a   Huang, Jian ^a  

^a CHENGDU UNIVERSITY OF INFORMATION TECHNOLOGY   (China)

Author keywords

Cross gradient; Image fusion; Nonsubsampled contourlet transform (NSCT); Regional visual characteristics

Indexed keywords

CROSS-GRADIENT; LOW-FREQUENCY COMPONENTS; NON SUBSAMPLED CONTOURLET TRANSFORM (NSCT); NON-SUB-SAMPLED CONTOURLET TRANSFORMS; OBJECTIVE QUALITIES; REGIONAL VISUAL CHARACTERISTICS; SUBBAND COEFFICIENTS; VISIBLE LIGHT IMAGES;

GRADIENT METHODS; INFRARED IMAGING; PIXELS;

IMAGE FUSION;

EID: 84883470892     PISSN: 13504495     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.infrared.2013.07.010     Document Type: Article

References (40)

1. D.A. Fay, A.M. Waxman, M. Aguilar, D.B. Ireland, J.P. Racamato, W.D. Ross, W.W. Streilein, M.I. Braun. Fusion of Multi-Sensor Imagery for Night Vision: Color Visualization, Target Learning and Search [C]. in: Proceedings of SPIE. vol. 4023, Society of Photo Optical Instrumentation Engineers Press, Bellingham, 2000, pp.105.
2. A. Toet Image fusion by a ratio of low-pass pyramid Pattern Recognit. Lett 9 4 1989 245
3. A. Toet, L.J. Ruyven, and J.M. Valeton Merging thermal and visual images by a contrast pyramid Opt. Eng. 28 7 1989 789
4. P.J. Burt A gradient pyramid basis for pattern selective image fusion Proceedings of the Society for Information Display Conference 1992 San Jose. SIDPress
5. Minh N. Do, and Martin Vettefli Framing pyrarmds[y] IEEE Trans. Signal Process. 51 9 2003 2329
6. S. Li, J.T. Kwok, and Y. Wang Using the discrete wavelet frame transform to merge landsat TM and spot panchromatic images[J] Inf. Fusion 21 3 2002 17
7. Z.J. Wang, D.R. Li, and Q.Q. Li Fusion of SPOT-P and TM multispectral image by M-band wavelet theory Geomatics Inf. Sci. WuHan Univ. 26 1 2001 24 (Pubitemid 32731022)
8. Geoge P. Lemeshewsky Multispectral multisensory image fusion using wavelet transforms Part of the SPIE Conference on Visual Information Processing VIII Oriando Florida 37 16 1999 214
9. Nunez Jorge, Fors Octavi, Prades Albert, Pala Vicenc, Arbiol Roman, and Otazu Xavier Multiresolution-based image fusion with additive wavelet decomposition IEEE Trans. Geosci. Rem. Sens. 37 3 1999 1204
10. Jorge Nunez, Xavier Otazu, Octavi Fors, Ignacio J. Prades, Vincenc Pala, Roman Arbiol, Data fusion of SPOT and LANDSAT images using additive multiresolution and wavelet decomposition, in: Part of the Europto Conference on Image and Signal Processing for Remote Sensing, 1998, pp. 202.
11. Wang Rong, Gao Li-qun, Chai Yu-hua, and Yang Shu Approach to multifocus image fusion Control Dec. 20 11 2005 1256
12. O. Rockinger, Image sequence fusion using a shift invariant wavelet transform, in: Proc.of Int. Conf.on Image Processsing, 1997, pp. 288.
13. G. Pajares, and J.M. de la Cruz A wavelet-based image fusion tutorial Pattern Recognit. 37 9 2004 1855
14. K. Amolins, Y. Zhang, and P. Dare Wavelet based image fusion techniques - an introduction, review and comparison ISPRS J. Photogramm. Rem. Sens. 62 4 2007 249
15. Y. Chai, H.F. Li, and J.F. Qu Image fusion scheme using a novel dual-channel PCNN in lifting stationary wavelet domain Opt. Commun. 283 2010 3591
16. Q. Guihong, Z. Dali, and Y. Pingfan Medical image fusion by wavelet transform modulus maxima Opt. Express 9 4 2001 184
17. F. Nencini, A. Garzelli, S. Baronti, and L. Alparone Remote sensing image fusion using the curvelet transform Inf. Fusion 8 2 2007 143
18. Chu Binbin, Yang Xiushun, Qi Dening, Li Congli, Lu Wei, Second International Conference on Digital Image Processing. in: Jusoff Kamaruzaman, Xie Yi, (Ed.), vol. 7546, Proceedings of the SPIE, 2010, pp. 75462C.
19. M. González-Audícana, J.L. Saleta, R.G. Catalán, and R. García Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition IEEE Trans. Geosci. Rem. Sens. 42 6 2004 1291
20. N. Cvejic, D. Bull, and N. Canagarajah Region-based multimodal image fusion using ICA bases IEEE Sens. J. 7 5 2007 743
21. N. Mitianoudis, and T. Stathaki Pixel-based and region-based image fusion schemes using ICA bases Inf. Fusion 8 2 2007 131
22. S. Li, and B. Yang Multifocus image fusion using region segmentation and spatial frequency Image Vision Comput. 26 7 2008 971
23. A. Toet, M.A. Hogervorst, S.G. Nikolov, J.J. Lewis, T.D. Dixon, D.R. Bull, and C.N. Canagarajah Towards cognitive image fusion Inf. Fusion 11 2 2010 95
24. Jamal. Saeedi, and Karim. Faez Infrared and visible image fusion using fuzzy logic and population-based optimization Appl. Soft Comput. 12 2012 1041
25. B. Gu, W. Li, J. Wong, M. Zhu, and M. Wang Gradient field multi-exposure images fusion for high dynamic range image visualization J. Visual Commun. Image Rep. 23 2012 604
26. Z. Wang, Y. Ma, and J. Gu Multi-focus image fusion using PCNN Pattern Recognit. 43 6 2010 2003
27. R. Redondo, S. Fischer, F. Šroubek, and G. Cristóbal A 2D Wigner Distribution-based multisize windows technique for image fusion J. Visual Commun. Image Represent. 19 2008 12
28. M.N. Do, and M. Vetterli The contourlet transform: an efficient directional multiresolution image representation IEEE Trans. Image Process. 14 12 2005 2091
29. J. ShensaM The discretewavelet transform: wedding the 'a trous and Mallat algorithms [J] IEEE Trans. Signal Process. 40 10 1992 2464
30. L. CunhaA, J.P. Zhou, and N. DoM The nonsubsampled contourlet transform: theory, design, and applications [J] IEEE Trans. Image Process. 15 10 2006 3089
31. HUANG Ji-wu, YUN Q Shi, and DAI Xian-hua Fearture of human vision systembased division coding algorithm[J] J. Image Graphics 4 5 1999 400
32. Andrew B. Watson Efficiency of a model human image code J. Opt. Soc. Am. A 4 12 1987 2401
33. G.E. Legge, and J.M. Foley Contrast masking in human vision JOSA 70 1980 1458
34. E. Peli Contrast in complex images JOSA A 7 1990 2032
35. S. Daly The visible differences predictor: an algorithm for the assessment of image fidelity Digital Images Human Vision 4 1993 124
36. G.E. Legge A power law for contrast discrimination Vision Res. 21 1981 457
37. A. Bradley, and I. Ohzawa A comparison of contrast detection and discrimination Vision Res. 26 1986 991
38. D.R Hankerson, G.A Harris, and P.D Johnson Introduction to Information Theory and Data Compression 2003 Chapman & Hall/CRC
39. Q. Miao, and B. Wang J. Comput.-Aided Des. Comput. Graphics 17 2005 2029
40. G. Lei, L. Huihui, and B. Yongsheng Image Fusion 2008 Publishing house of electronics industry