Differential evolution algorithm based spatial multi-sensor image fusion

In this paper, a new optimised region based multi-sensor image fusion method is presented. The proposed method works on spatial domain. Differential evolution algorithm is used to optimize the contribution of the input images to fused images based on regions. The method was compared visually and quantitatively with Laplacian Pyramid (LP) and Shift-invariance Discrete Wavelet Transform (SiDWT) methods. Experimental results show that the developed method outperforms other traditional methods and can effectively improve the quality of the fused image.

[1]  A. Mumtaz,et al.  Genetic Algorithms and its application to image fusion , 2008, 2008 4th International Conference on Emerging Technologies.

[2]  Veysel Aslantas,et al.  Fusion of multi-focus images using differential evolution algorithm , 2010, Expert Syst. Appl..

[3]  Oliver Rockinger,et al.  Image sequence fusion using a shift-invariant wavelet transform , 1997, Proceedings of International Conference on Image Processing.

[4]  Shutao Li,et al.  Performance comparison of different multi-resolution transforms for image fusion , 2011, Inf. Fusion.

[5]  Liu Kun,et al.  Fusion of Infrared and Visible Light Images Based on Region Segmentation , 2009 .

[6]  Zhongliang Jing,et al.  Multi-focus image fusion using pulse coupled neural network , 2007, Pattern Recognit. Lett..

[7]  Vladimir Petrovic,et al.  Objective image fusion performance measure , 2000 .

[8]  Lincheng Shen,et al.  Multi-resolution Image Fusion Using AMOPSO-II , 2006 .

[9]  Rick S. Blum,et al.  A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application , 1999, Proc. IEEE.

[10]  Ramachandra Raghavendra,et al.  Particle swarm optimization based fusion of near infrared and visible images for improved face verification , 2011, Pattern Recognit..

[11]  Cedric Nishan Canagarajah,et al.  Pixel- and region-based image fusion with complex wavelets , 2007, Inf. Fusion.

[12]  Veysel Aslantas,et al.  New optimised region-based multi-scale image fusion method for thermal and visible images , 2014, IET Image Process..

[13]  Alexander Toet,et al.  Fusion of visible and thermal imagery improves situational awareness , 1997 .

[14]  Rick S. Blum,et al.  Fusion of visual and IR images for concealed weapon detection , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

[15]  Edward H. Adelson,et al.  The Laplacian Pyramid as a Compact Image Code , 1983, IEEE Trans. Commun..

[16]  Q Guihong,et al.  Medical image fusion by wavelet transform modulus maxima. , 2001, Optics express.

[17]  Mei Yang,et al.  A novel algorithm of image fusion using shearlets , 2011 .

[18]  Veysel Aslantas,et al.  A comparison of criterion functions for fusion of multi-focus noisy images , 2009 .

[19]  R. Storn,et al.  Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .

[20]  Shutao Li,et al.  The multiscale directional bilateral filter and its application to multisensor image fusion , 2012, Inf. Fusion.