Abstract:

In order to solve the deficiencies of classical singular value decomposition (SVD) in image processing, a construction method of the six channel multi-cale singular value decomposition is presented. An image fusion method based on the multi-cale SVD (MSVD) is proposed. Firstly, based on the principle of classical SVD and blocking algorithm, the sixchannel MSVD is performed. Secondly, the images involved in the fusion are decomposed into one approximation and five detail images with different resolution by the MSVD. The fusion rule is that the average value is selected for lowfrequency subimage; while for the highfrequency sub-mages, the coefficients with larger area energy value are employed. The fused image is obtained by using reconstruction method of the MSVD. Finally, the fusion performance of the result image is evaluated using subjective analysis and objective indices. The experimental results show that the proposed fusion method has good visual effect and has no blockingartifact in the fused images. When compared with the fusion method based on discrete wavelet transform, lifting wavelet transform, curvelet transform and contourlet transform, the proposed method hasbeen observed to have higher definition and spatial frequency.