Mastering Computer Vision with TensorFlow 2.x

Mixing the Gaussian and Laplacian operations

So far, you have learned that the Gaussian operation blurs the image and the Laplacian operation sharpens the image. But why do we need each operation, and in what situation is each operation used?

An image consists of characteristics, features, and other non-feature objects. Image recognition is all about extracting features from an image and eliminating the non-feature objects. We recognize an image as a particular object, such as a car, because its features are more prominent compared to its non-features. Gaussian filtering is the method of suppressing the non-features from the features, which blurs the image.

Applying it multiple times blurs the image more and suppresses both the features and ...