Multi-strategy image fusion method under compressed sensing framework
An image fusion and compressed sensing technology, which is applied in the field of image processing, can solve the problems of long image fusion process, high data calculation complexity, and large image storage space
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[0037] refer to figure 1 , the specific implementation process of the present invention is as follows:
[0038] Step 1: Input the original image A and the original image B, and divide the original image A and the original image B into partial images X1 and X2 of size C×C, C×C is 8×8 or 16×16, in this example, 16 ×16.
[0039] Step 2: Perform Fourier transform on the partial image X1 to obtain a Fourier coefficient matrix y1, and perform Fourier transform on the partial image X2 into a Fourier coefficient matrix y2.
[0040] Step 3, adopting a variable density observation model with low-frequency full sampling of Fourier coefficients, and observing the Fourier coefficient matrix y1 to obtain an observation vector f1.
[0041] (3a) Set the sampling model to be a matrix with a value of only 0 or 1, use the point with a value of 1 as the sampling point, and set the matrix B according to the size of the input image A: if the size of the input image A is m×m, Then set the size of...
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