Multi-focusing image fusion method utilizing core Fisher classification and redundant wavelet transformation
A multi-focus image and wavelet transform technology, applied in the field of multi-focus image fusion, can solve the problems of fusion effect gap and large amount of calculation
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[0053] The present invention will be further described below in conjunction with the accompanying drawings.
[0054] The present invention will use the following three sharpness features, namely
[0055] 1) Improved Sum of Laplace Energy (SML)
[0056] ML(x,y)=|2I(x,y)-I(x-step,y)-I(x+step,y)|+|2I(x,y)-I(x,y-step) -I(x, y+step)| In the above formula, step represents the distance between coefficients, and step is taken as 1 in the present invention. I(x, y) is the gray value of the pixel at (x, y) in the source image.
[0057] SML = Σ x = 1 d Σ y = 1 d [ ML ( x , y ) ] 2
[0058]...
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