Medical Image Fusion Based on Wavelet Weight Coefficients and Average Gradient
REN Qing
Abstract：This paper proposes an medical image fusion algorithm ,based on wavelet transform ,it is mainly concerned with the CT and MRI .For the image low‐frequency part ,because most of the image characteristics are stored in high‐fre‐quency part ,so low‐frequency wavelet coefficients will multiply coefficien 1/R ,to reduce the proportion of low‐frequency part of the whole image information .For the image high‐frequency part ,evaluation factor of image quality evaluation — the average gradient ,whose absolute value is larger is chosen to play as the ultimate image wavelet high‐frequency coefficients . Compared with several commonly used image fusion methods ,the proposed algorithm can give us the fusion image that ownes more image detail information .
Keywords：image fusionmulti-mode imagewavelet transformweight coefficientsaverage gradient
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 1687-1688,1704 )