Study on Image Fusion Model Based on HIS Transform and Nonsubsampled Contourlet Transform

Abstract:

Article Preview

After analysising the principle of nonsubsampled contourlet transform, the image fusion model based on HIS transform and nonsubsampled contourlet transform is proposed. By taking of ALOS image as an example, the image fusion of multi-spectral band and panchromatic band at the same time is carried out by different fusion methods such as the method combining HIS transform and nonsubsampled contourlet transform (NSCT), HIS transform fusion method, principal component analysis (PCA), Brovey and static wavelet transform (SWT). By calculating the quantitative evaluation indicators of the different fused image, it is conclued that the fusion effection of static wavelet transform fusion method and nonsubsampled contourlet transform fusion method is better than the common methods such as HIS transform, principal component analysis and Brovey. In particular, the image fusion effection of nonsubsampled contourlet transform method, which betterly maintains the image spectral information while improving image spatial resolution at the same time, is superior than the fusion evaluation of static wavelet transform fusion method.

Info:

Periodical:

Edited by:

David Wang

Pages:

659-665

DOI:

10.4028/www.scientific.net/KEM.500.659

Citation:

M. Cao et al., "Study on Image Fusion Model Based on HIS Transform and Nonsubsampled Contourlet Transform", Key Engineering Materials, Vol. 500, pp. 659-665, 2012

Online since:

January 2012

Export:

Price:

$35.00

[1] Chahira Serief, Mourad Barkat, Youcef Bentoutou and Malek Benslama, Robust feature points extraction for image registration based on the nonsubsampled contourlet transform, International Journal of Electronics and Communications, Vol. 63, Issue 2, 4 , pp.148-152, February (2009).

DOI: 10.1016/j.aeue.2007.11.005

[2] A.L. daCunha, J.P. Zhou and M.N. Do, Nonsubsampled contourlet transform: filter design and application in denoising, in: IEEE International Conferenceon Image Processing, Genoa, Italy, 11-14 September, 2005, pp.749-752.

[3] J.P. Zhou, A.L. daCunha and M.N. Do, Nonsubsampled contourlet transform: construction and application in enhancement, in: IEEE International Conferenceon Image Processing, Genoa, Italy, 11-14 September, 2005, pp.469-476.

DOI: 10.1109/icip.2005.1529789

[4] Xiao-Hui YANG and Li-Cheng JIAO, 'Fusion Algorithm for Remote Sensing Images Based on Nonsubsampled Contourlet Transform, Acta Automatica Sinica, Vol. 34, Issue 3, pp.274-281, March (2008).

DOI: 10.3724/sp.j.1004.2008.00274

[5] Xiao-Bo QU, Jing-Wen YAN, Hong-Zhi XIAO and Zi-Qian ZHU, Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain, Acta Automatica Sinica, Vol. 34, Issue 12, pp.1508-1514, December (2008).

DOI: 10.3724/sp.j.1004.2008.01508

[6] L. Yang, B.L. Guo and W. Ni, Multimodality medical image fusion based on multiscale geometric analysis of contourlet transform, Neurocomputing, Vol. 72, Issues 1-3, pp.203-211, December (2008).

DOI: 10.1016/j.neucom.2008.02.025

[7] Qiang Zhang and Bao-long Guo, Multifocus image fusion using the nonsubsampled contourlet transform , Signal Processing, Vol. 89, Issue 7, pp.1334-1346, July (2009).

DOI: 10.1016/j.sigpro.2009.01.012

[8] V. Petrovic and C. Xydeas, Objective image fusion performance characterisation, in: IEEE International Conferenceon Computer Vision, Beijing, China, 17-21 October, 2005, pp.1866-1871.

[9] M.I. Sezan ,G. Pavlovic, A.M. Tekalp and A.T. Erdem, On modeling the focus blur in image restoration, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, 14-17 April, 1991, pp.2485-2488.

DOI: 10.1109/icassp.1991.150905

[10] R.C. Gonzalez, R.E. Woods, Color models, in: R.C. Gonzalez, R.E. Woods (Eds. ), Digital Image Processing, 2nd ed., Prentice Hall, 2002, pp.289-302.

[11] M.N. Do, Directional Multiresolution Image Representations, Swiss Federal Institute of Technology, 2001. p.45–56.

In order to see related information, you need to Login.