Hands-On Image Processing with Python

Image pyramids (Gaussian and Laplacian) – blending images

We can construct the Gaussian pyramid of an image by starting with the original image and creating smaller images iteratively, first by smoothing (with a Gaussian filter to avoid anti-aliasing), and then by subsampling (collectively called reducing) from the previous level's image at each iteration until a minimum resolution is reached. The image pyramid created in this way is called a Gaussian pyramid. These are good for searching over scale (for instance, template-matching), precomputation, and image processing tasks by editing frequency bands separately (for instance, image blending). Similarly, a Laplacian pyramid for the image can be constructed by starting from the smallest sized ...