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Image Fusion Using Wavelet Transform


Affiliations
1 Vels University, Chennai-117, India
2 Department of MCA, Vels University, Chennai-117, India
3 Department of MCA, Bharath University, Chennai-117, India
     

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The purpose of image fusion is to merge information from multi-sensor and to improve abilities of information analysis and feature extraction. In this paper, a new image fusion algorithm based on multiwavelet transform to fuse multimedical images is presented. The detailed discussions are focused on the two-wavelet and two-scaling function multiwavelets. In the fusion algorithm, a feature-based fusion rule is used to combine original sub images and to form a pyramid for the fused image. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. Experiment of fusing medical CT\MRI images is presented in this paper. Comparing with other image fusion methods, satisfactory result has been obtained by applying this method on both objective and subjective performance measure.

Keywords

Image Fusion, Medical Images, Multiwavelet Transform, Feature Selection, Mutual Information.
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  • Image Fusion Using Wavelet Transform

Abstract Views: 247  |  PDF Views: 2

Authors

C. Metilda Asha
Vels University, Chennai-117, India
S. Prasanna
Department of MCA, Vels University, Chennai-117, India
A. Muthukumaravel
Department of MCA, Bharath University, Chennai-117, India

Abstract


The purpose of image fusion is to merge information from multi-sensor and to improve abilities of information analysis and feature extraction. In this paper, a new image fusion algorithm based on multiwavelet transform to fuse multimedical images is presented. The detailed discussions are focused on the two-wavelet and two-scaling function multiwavelets. In the fusion algorithm, a feature-based fusion rule is used to combine original sub images and to form a pyramid for the fused image. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. Experiment of fusing medical CT\MRI images is presented in this paper. Comparing with other image fusion methods, satisfactory result has been obtained by applying this method on both objective and subjective performance measure.

Keywords


Image Fusion, Medical Images, Multiwavelet Transform, Feature Selection, Mutual Information.