This is also image addition, but different weights are given to images in order to give a feeling of blending or transparency. Images are added as per the equation below:
$g(x)=(1−α)(f_0(x)) +αf1(x)$
By varying $α$ from $0→1$, you can perform a cool transition between one image to another.
Here two images are taken to blend together. The first image is given a weight of 0.7 and the second image is given 0.3. cv.addWeighted() applies the following equation to the image:
$dst=α⋅img1+β⋅img2+γ$
Here $γ$ is taken as zero.
The $\gamma$ parameter in blending of images refers to the gamma correction applied to the images before blending. Gamma correction is a nonlinear operation that adjusts the brightness levels of an image. It is used to compensate for the nonlinear response of the human eye to changes in brightness.
The $\gamma$ parameter in the addWeighted function controls the gamma correction applied to the source images before blending. It is specified as a floating-point value, where a value of 1.0 means no gamma correction is applied, and values less than 1.0 darken the image, while values greater than 1.0 brighten the image.
Note : Image combination is a subset of Image Blending. In image blending we can specify the amount/percentage of effect that we want form either of the input images.
| BLENDING |
| Image1 |
Image2 |
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| Display Image |
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