Abstract
Image fusion is the method of combining relevant information from two or more images into a single image resulting in an image that is more informative than the initial inputs. Methods for fusion include discrete wavelet transform, Laplacian pyramid based transform, curvelet based transform etc. These methods demonstrate the best performance in spatial and spectral quality of the fused image compared to other spatial methods of fusion. In particular, wavelet transform has good time-frequency characteristics. However, this characteristic cannot be extended easily to two or more dimensions with separable wavelet experiencing limited directivity when spanning a one-dimensional wavelet. This paper introduces the second generation curvelet transform and uses it to fuse images together. This method is compared against the others previously described to show that useful information can be extracted from source and fused images resulting in the production of fused images which offer clear, detailed information.
[1] Burt P.J. and Adelson E.H., The Laplacian Pyramid as a Compact Image Code, IEEE Transactions on Communications, 1983, 31(4), 532–540 http://dx.doi.org/10.1109/TCOM.1983.109585110.1109/TCOM.1983.1095851Search in Google Scholar
[2] Burt P.J., Kolczynski R.J., Enhanced Image Capture through Fusion, Proceedings Fourth International Conference on Computer Vision, placeStateBerlin, 173–182, IEEE 1993 Search in Google Scholar
[3] Toet A., Image Fusion by a Ratio of Low-Pass Pyramid, Pattern Recognition Letters, 1989, 9(4), 245–253 http://dx.doi.org/10.1016/0167-8655(89)90003-210.1016/0167-8655(89)90003-2Search in Google Scholar
[4] Pu I., Fang Q. Z., Ni G.Q., Contrast-Based Multi-resolution Image Fusion, Acta Electronica Sinica, 2000, Vol.12, 116–118 (in Chinese) Search in Google Scholar
[5] Li H., Munjanath S., and Mitra S., Multisensor Image Fusion Using the Wavelet Transform, Graphical Models Image Proc, 1995, 57(3), 235–245 http://dx.doi.org/10.1006/gmip.1995.102210.1006/gmip.1995.1022Search in Google Scholar
[6] Petrovic V. and Xydeas C.S., Objective Image Fusion Performance Measure, Electronics Letters, 2000, 36(4), 308–309 http://dx.doi.org/10.1049/el:2000026710.1049/el:20000267Search in Google Scholar
[7] Chibani Y., Houacine A., Redundant versus Orthogonal Wavelet Decomposition for Multisensor Image Fusion, Journal of Pattern Recognition, 2003, 36, 879–887 http://dx.doi.org/10.1016/S0031-3203(02)00103-610.1016/S0031-3203(02)00103-6Search in Google Scholar
[8] Petrovic V., Subjective Tests for Image Fusion Evaluation and Objective Metric Validation, Information Fusion, 2005 Search in Google Scholar
[9] Piella G., A General Framework for Multi-resolution Image Fusion: from Pixels to Regions, International Journal of Information Fusion, 4, 2003, 258–280 10.1016/S1566-2535(03)00046-0Search in Google Scholar
[10] Sun Y., Zhao C., and Jiang L., A New Image Fusion Algorithm Based on Wavelet Transform and the Second Generation Curvelet Transform, In: 2010 International Conference on Image Analysis and Signal Processing (IASP), 2010, 438–431 Search in Google Scholar
[11] Jyothi V., Rajesh Kumar B., Krishna Rao P., and Rama Koti Reddy D.V., Image Fusion Using Evolutionary Algorithm (GA), Int. J. Comp. Tech. Appl., 2011, 2(2), 322–326 Search in Google Scholar
[12] Mumtaz A., Majid A., Mumtaz A., Genetic Algorithm and its Applications to Image Processing, 2008 International Conference on Emerging Technologies, IEEE-ICET 2008 10.1109/ICET.2008.4777465Search in Google Scholar
[13] Haq Nishat A., Multi-Sensor Image Fusion and Image Colorization for Better Situation Assessment, Master thesis, GIKI Pakistan, December 2005, (PI) Search in Google Scholar
[14] Khan A.M., Khan A., Fusion of Visible and Thermal Images Using Support Vector Machines, Proceedings of the Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, (IDAACS2001) Ukraine, 1–4 July 2001, 123–127 Search in Google Scholar
© 2011 Versita Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
