The goal of this assignment is to restore degraded images using image processing techniques. 
The degradation is unkonwn and must be estimated and corrected properly.

The challenge ranking will be done by estimating the restoration quality using the Peak Signal-to-Noise Ratio ([PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio)) and Structural Similarity Index Measure ([SSIM](https://en.wikipedia.org/wiki/Structural_similarity_index_measure)) metrics.

The Data section contains the set of images to process. The goal is to improve their quality. You can start by inspecting the images to understand their nature and how they can be improved.

You can find a sample notebook with a dummy solution in the Code section. The script can be used to loop over all images in data26/, apply your enhancement solution, and create the .csv file to be submitted to the challenge. The enhanced images are encoded into the .csv that you upload as a solution.