Problem statement : Given two images 1. real image ; 2 distorted image. The task is to align the distorted image with respect to real image such that both images attain maximum similarity.
Approach : Dataset i have used in this project in MNIST image dataset. Loss function used is MSE loss.
How to reproduce the results
- Download the dataset and store it in the data folder.
- Run 10,000 iterations, you can change the hyperparameters if you want.
- Select any two random images from the data set as test image
- Check the results.
Note: You have to change the logic according to your needs.
Some results:
Considering optimizing and support for more datasets ,i will be updating the respository on a weekly basis.