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Image Fusion Based on the Anisotropic Texture Information

Sha Yu-heng Cong Lin Hou Biao Jiao Li-cheng (Key Laboratory for Radar Signal Processing and Institute of Intelligent Information Processing, Xidian University, Xi’an 710071, China)  
To take full advantage of the anisotropic texture information and multidimensional singular information in an image, a novel method for image fusion based on anisotropic texture information is presented in this paper. And the local energy operator is provided as the fusion strategies. This method can capture and preserve the anisotropic edge information and detail direction texture of collected images effectively, and it is integrated with brushlet transform to the fusion of natural images, aerial photos and medical images. Objective parameters of evaluating the fusion performance are provided via entropy and cross entropy. Comparisons of performance of Brushlet-based and wavelet-based fusion methods are provided. It is shown that the proposed method has improved the fusion result of wavelet-based ones not only in visual effect but also in objective evaluating parameters.
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