MEDICAL IMAGE FUSION BASED ON NONSUBSAMPLED DIRECTION COMPLEX WAVELET TRANSFORM

Combined with the advantage of more low-frequency sub-bands coefficients in nonsubsampled direction filter bank-dual-tree complex wavelet transform (NSDFBDTCWT), a medical image fusion algorithm based on NSDFB-DTCWT is proposed to overcome the complexity fusion rules in image fusion algorithm based on the multi-scale multi-resolution transform. First, NSDFB-DTCWT is utilized for decomposition of the source images, and then the maximum of the absolute value of all frequency coefficients of decomposition is selected to construct fusion image. Finally, the fusion image is gained after

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