Average gradient (AG). The AG reflects the ability to express the details of an image and can be used to measure the
relative clarity of the image. AG is formulated as:
1.JPG

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KSSV
KSSV am 28 Nov. 2019
Let F be your matrix.
[dfdx,dfdy] = gradient(f) ;
M = (dfdx.^2+dfdy.^2)/2 ;
AG = mean(mean(M)) ;
I gave answer quckly...cross check once.

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Thanks KSSV,
hey KSSV, please help me again
To improve the significance of the data, a comprehensive evaluation parameter was set in the experiment so that the average values of different sets of test data could be presented in a consistent manner:
1.PNG
where n is the sample size, Yi is the result of testing on a certain sample, and Y is the average value.

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