An image fusion algorithm based on lifting wavelet transform

Journal of Optics (United Kingdom)

Volumn 17, Issue 5, 2015, Pages

  Wang, Xianghai ^a   Shen, Yutong ^a   Zhou, Zhiguang ^b   Fang, Lingling ^a  

^a LIAONING NORMAL UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

directional characteristic; lifting wavelet transformation; matching measure; quadtree structure

Indexed keywords

FREQUENCY DOMAIN ANALYSIS; IMAGE COMPRESSION; IMAGE FUSION; TREES (MATHEMATICS);

CONVENTIONAL METHODS; DIRECTIONAL CHARACTERISTIC; FREQUENCY DOMAINS; IMAGE FUSION ALGORITHMS; LIFTING WAVELET; LIFTING WAVELET TRANSFORMS; MATCHING MEASURE; QUADTREE STRUCTURE;

WAVELET TRANSFORMS;

EID: 84928789546     PISSN: 20408978     EISSN: 20408986     Source Type: Journal    
DOI: 10.1088/2040-8978/17/5/055702     Document Type: Article

References (29)

1. Ellmauthaler A, Pagliari C and Silva E 2013 Multiscale image fusion using the undecimated wavelet transform with spectral factorization and nonorthogonal filter banks IEEE Trans. Image Process. 22 1005-17
2. Hui Z et al 2010 Blurred image recognition by legendre moment invariants IEEE Trans. Image Process. 19 596-611
3. Carneiro G 2013 Artistic image analysis using graph-based learning approaches IEEE Trans. Image Process. 22 3168-78
4. Finlayson G, Connah D and Drew M 2011 Lookup-table-based gradient field reconstruction IEEE Trans. Image Process. 20 2827-36
5. Palsson F et al 2015 Model-based fusion of multi- and hyperspectral images using PCA and wavelets IEEE Trans. Geosci. Remote Sens. 53 2652-63
6. Darwish S 2013 Multi-level fuzzy contourlet-based image fusion for medical applications Image Process. 7 694-700
7. Jae H, Yoonsung B and Jong B 2012 Contrast-enhanced fusion of multisensor images using subband-decomposed multiscale retinex IEEE Trans. Image Process. 21 3479-90
8. Wen X and Li C 2012 Feature-level image fusion for SAR and optical images IET Int. Conf. on Information Science and Control Engineering 2012 (Shenzhen, China) p 2.19
9. Bo Y, Zhongliang J and Haitao Z 2010 Review of pixel-level image fusion J. Shanghai Jiaotong Univ. Sci. 15 6-12
10. Wei H et al 2015 Free-breathing diffusion tensor imaging and tractography of the human heart in healthy volunteers using wavelet-based image fusion IEEE Trans. Med. Imaging 34 306-16
11. Siyue C et al 2011 A maximum likelihood approach to joint image registration and fusion IEEE Trans. Image Process. 20 1363-72
12. Li X, He M and Roux M 2010 Multifocus image fusion based on redundant wavelet transform Image Process. 4 283-93
13. Goupillaud P, Grossman A and Morlet J 1984 Cycle-octave and related transforms in seismic signal analysis Geoexploration 23 85-102
14. Kulkarni J 2011 Wavelet transform application Int. Conf. Electron. Comput. Technol. 1 11-7
15. Zhihui W, Zhigang J and Huizhong X 2009 A novel method for pedestrian tracking for infrared image sequences Int. Conf. Test Meas. 1 200-3
16. Maoguo G, Zhiqiang Z and Jingjing M 2012 Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering IEEE Trans. Image Process. 21 2141-51
17. Nasim A et al 2013 Investigating 3D echocardiography image fusion for improving image quality 3rd Int. Conf. on Computer, Control and Communication (Karachi, Pakistan) pp 1-6
18. Guoliang T, Jiexin P and Xinhan H 2006 Image fusion based on multi-wavelet transform IEEE Int. Conf. on Mechatronics and Automation (Luoyang, Henan) pp 2058-63
19. Muwei J, Junyu D and Yang Z 2007 Image fusion based on wavelet transform 16th Int. Conf. on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (Takamatsu, Japan) vol 1 pp 713-8
20. Singh R et al 2012 Mixed scheme based multimodal medical image fusion using daubechies complex wavelet transform Int. Conf. on Informatics, Electronics and Vision (Dhaka, Bangladesh) pp 304-9
21. Xiaorui W et al 2012 Multi-focus image fusion based on PCNN model Int. Conf. Intell. Hum.-Mach. Syst. Cybern. 1 289-92
22. Mitiche L, Adamou-Mitiche A and Naimi H 2013 Medical image denoising using dual tree complex thresholding wavelet transform IEEE Conf. on Applied Electrical Engineering and Computing Technologies (Amman, Jordan) pp 1-5
23. Agrawal D and Singhai J 2010 Multifocus image fusion using modified pulse coupled neural network for improved image quality Image Process. 4 443-51
24. Xiaohong X and Zhihong W 2010 Image fusion based on lifting wavelet transform Int. Symp. Intell. Inf. Process. Trusted Comput. 1 659-62
25. Xuejun W and Ying M 2010 A medical image fusion algorithm based on lifting wavelet transform Int. Conf. Artif. Intell. Comput. Intell. 3 474-6
26. Juan L and Moulin P 2001 Information-theoretic analysis of interscale and intrascale dependencies between image wavelet coefficients IEEE Trans. Image Process. 11 1647-58
27. Jain A 2006 Digital Image Processing Foundation (Beijing, China: Qinghua University Press) (Engl. transl.)
28. Lingling L et al 2005 Fast image fusion method based on lifting wavelet transform Mini-Micro Syst. 26 667-70
29. Sweldens W 1995 The lifting scheme: a construction of second generation wavelets Technical Report, Industrial Mathematics Initiative (Department of Mathematics, University of South Carolina)