How is digital signal processing related to Computer Vision?
My attempt: You can treat an image as a discretization of the perspective projection of a continous 3D region, given a near and far plane. Using this discretization, filters used in signal processing can be used to modify the signal (a 2D array) for various purposes. These purposes include things like edge detection, image denoising, object detection, instance/semantic/general segmentation, and various other tasks. Notably 2-D wavelet transforms borne out of signal processing are used to transform image signals to another basis using function spaces spanned by a finite basis of orthogonal functions and perform filtering in this space, after which you invert the transform to achieve a modified image.