Region-Based Multimodal Image Fusion Using ICA Bases

In this paper, we present a novel multimodal image fusion algorithm in the independent component analysis (ICA) domain. Region-based fusion of ICA coefficients is implemented, where segmentation is performed in the spatial domain and ICA coefficients from separate regions are fused separately. The ICA coefficients from given regions are consequently weighted using the Piella fusion metric in order to maximize the quality of the fused image. The proposed method exhibits significantly higher performance than the basic ICA algorithm and also shows improvement over other state-of-the-art algorithms

[1]  Alexander Toet,et al.  Image fusion by a ration of low-pass pyramid , 1989, Pattern Recognit. Lett..

[2]  D. Bank.  A novel ultrasonic sensing system for autonomous mobile systems , 2002 .

[3]  Henk J. A. M. Heijmans,et al.  A new quality metric for image fusion , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

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

[5]  Rick S. Blum,et al.  Multi-sensor image fusion and its applications , 2005 .

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

[7]  Vladimir Petrovic,et al.  Objective evaluation of signal-level image fusion performance , 2005 .

[8]  Alexander Toet,et al.  Perceptual evaluation of different image fusion schemes , 2003 .

[9]  Peter J. W. Rayner,et al.  Unsupervised image segmentation , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[10]  Nikolaos Mitianoudis,et al.  Pixel-based and region-based image fusion schemes using ICA bases , 2007, Inf. Fusion.

[11]  Wei-Yen Wang,et al.  Image-based distance and area measuring systems , 2006, IEEE Sensors Journal.

[12]  E. Oja,et al.  Independent Component Analysis , 2013 .

[13]  Vladimir S. Petrovic,et al.  Objective pixel-level image fusion performance measure , 2000, SPIE Defense + Commercial Sensing.

[14]  Huan Ruo-hong.  Novel ICA Domain Multimodal Image Fusion Algorithm , 2008 .

[15]  J.A. Ratches,et al.  Target acquisition performance modeling of infrared imaging systems: past, present, and future , 2001, IEEE Sensors Journal.

[16]  David R. Bull,et al.  Combined morphological-spectral unsupervised image segmentation , 2005, IEEE Transactions on Image Processing.

[17]  David Bull,et al.  A novel ICA domain multimodal image fusion algorithm , 2006, SPIE Defense + Commercial Sensing.

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

[19]  N. Canagarajah,et al.  Wavelets for Image Fusion , 2001 .

[20]  S. Jayasuriya,et al.  Optimal fusion of multiple nonlinear sensor data , 2004, IEEE Sensors Journal.