Image Sharpness Calculation ?

I have an issue with Image sharpness calculation, iam trying to code the formula below , but iam getting error :
The formula is :
where
.
and
: represents the horizontal/vertical gradient at pixel (x,y) obtained via the Sobel filter.
then S is :
.
and there is an issue with image gradient, if the image has no same hieght width the equation will not work ??
I have the code below for L(x,y) :
clear all;
my_image = im2double(imread('lena512.tif'));
my_image1 = my_image(:,:,1);
A=my_image1;
% use the help of a bigger matrix
B=nan(size(A)+2);
B(2:end-1,2:end-1)=A;
% pre-define memory for result
sharpness = 0*A;
% calculate!
for i=2:size(A,1)+1,
for j=2:size(A,2)+1,
tmp(2,2)=nan;
sharpness(i,j)= (temp (i-1,j)) + (temp(i+1,y) -temp(i,j-1)-temp(i,y+1);
end
end

2 comentarios

KALYAN ACHARJYA
KALYAN ACHARJYA el 11 de Feb. de 2020
What is I^2(x)?
shawin
shawin el 11 de Feb. de 2020
I updated the formula , sorry for that

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Respuestas (1)

KALYAN ACHARJYA
KALYAN ACHARJYA el 11 de Feb. de 2020

1 voto

my_image1 = my_image(:,:,1);
sharpness=0;
[r,c]=size(my_image1);
for i=2:r-1
for j=2:j-1
L=(my_image1(i-1,j)+my_image1(i+1,j)-my_image1(i,j-1)-my_image1(i,j+1))^2;
sharpness(i,j)=L*(I^2(x)+I^2(y))
%..................^ ^ Change the I^2(x) and I^2(y)..I didnot undestand thease two I(x) and I(y)
end
end
sharpness

6 comentarios

shawin
shawin el 16 de Feb. de 2020
Editada: shawin el 16 de Feb. de 2020
Please why we are taking the image as :
my_image1 = my_image(:,:,1); Only the red chanel ??
KALYAN ACHARJYA
KALYAN ACHARJYA el 16 de Feb. de 2020
You have mentioned in the posted code. May be red channel have maximum imformation in the test images. Considering the 1 plane reduce to complexity with respect to dela with 3 planes.
shawin
shawin el 16 de Feb. de 2020
Can I convert the images to grayscale images then calculate the sharpness.
Just read the grayscale images ??
KALYAN ACHARJYA
KALYAN ACHARJYA el 16 de Feb. de 2020
yes
shawin
shawin el 16 de Feb. de 2020
Thank you :)
shawin
shawin el 21 de Feb. de 2020
Editada: shawin el 27 de Feb. de 2020
Thank you

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el 11 de Feb. de 2020

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el 27 de Feb. de 2020

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