[英]Compute the mean absolute error between two image matlab
I want to Compute the mean absolute error between two image in Matlab and named it MAE there is the code: 我想在Matlab中计算两个图像之间的平均绝对误差,并将其命名为MAE,代码如下:
x=imread('duck.jpg');
imshow(x)
xmin=min(x);
xmax = max(x);
xmean=mean(x);
I = double(x) / 255;
v = var(I(:));
y = imnoise(x, 'gaussian', 0, v / 10);
y = double(y) / 255;
imshow(y)
There's no need to evaluate the min()
, max()
, mean()
for the first image in order to evaluate the MAE. 无需评估第一张图像的min()
, max()
, mean()
即可评估MAE。
Since the MAE is the sum of the (L1-norm) differences between corresponding pixels in your two images x
and y
(divided by the number of pixels), you can simply evaluate it as: 由于MAE是两个图像x
和y
相应像素之间的(L1-范数)差之和(除以像素数),因此您可以简单地将其评估为:
MAE=sum(abs(x(:)-y(:)))/numel(x);
where numel()
is a function that returns the number of elements in its argument. 其中numel()
是一个函数,该函数返回其参数中的元素数。 In your case since x
and y
have the same number of elements you can either put numel(x)
or numel(y)
. 在您的情况下,由于x
和y
具有相同数量的元素,因此可以放置numel(x)
或numel(y)
。
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