So far, we have introduced the concept of image filtering and discussed a couple of important filtering techniques, namely box filtering and Gaussian filtering. We also implemented the same using OpenCV and demonstrated the blurring effects that it produced on images. You can now experiment with the extent or degree of blurring by playing around with the size (and the standard deviation in the case of Gaussian filtering) of the image filters.
In this section, we are going to do something even more exciting! We are going to implement a basic version of a very cool image editing technique called Vignetting. For those of you who have come across this term in the context of popular image processing apps (such as Instagram), you will have seen it being referred to as the Vignetting filter or Vignette filter. However, since we are computer vision enthusiasts, we know that the term filter holds a very special meaning in our literature. Hence, we refrain from using the term filter for...
