This repo, still in progress, contains code that exemplifies the implementation of Gaussian and Laplacian pyramids and how they are used for image blending. The scripts included here intend to show this by: 1. Exclusively using OpenCV and 2. Implementing each algorithm from scratch. The original images utlized for these tests can be found in the folder [images] (https://github.com/rcuevass/pyramids_and_blending/tree/master/images) of this repository. The code is executed with python main.py

The file from_openCV.py contains the module that exclusively uses OpenCV libraries for pyramid generation as well as blending. The sequences of images generated with this module can be found in [this link.] (https://github.com/rcuevass/pyramids_and_blending/tree/master/blend_openCV)

The file gauss_pyramid.py contains the module that generates a Gaussian pyramid from scratch; OpenCV is only used to load/write images from/to file. The Gauss pyramid can be found in [this link.] (https://github.com/rcuevass/pyramids_and_blending/tree/master/gauss_scratch) File laplace_pyramid.py contains module that generates a Laplacian pyramid fromscratch; OpenCV is only used to load/write images from/to file. The Laplacian pyramid can be found in [this link] (https://github.com/rcuevass/pyramids_and_blending/tree/master/laplace_scratch).

Blending function has still to be implemented.

The function testConvIndx(wHat,yTest,indx) clearly needs to be improved. The current one is only for prototyping purposes and huge improvement upon it can still be done.

Progress on this project can be found on the Jupyter notebook pyramids_blending.ipynb

The original paper on Laplacian pyramids can be fond in the [References] (https://github.com/rcuevass/pyramids_and_blending/tree/master/References) folder of this repo.