Automatic Photo Enhancer Using Machine Learning and Deep Learning with Python

The photo enhancement application has emerged as one of the most demanding technologies all around the globe. The value of image processing and preserving the integrity of the images is of paramount importance, which is why the concept of digital image enhancement was introduced. It provides a wide variety of options to get the image enhanced and its features distinguished. Be it either information recovery of the digital image or the upgradation of picture quality, digital image enhancement technology has made it all possible. To eliminate noise signals and fix the low resolution of the input image, an automated digital image enhancement technology is needed. This project mainly focuses on using machine learning algorithms that train the model and improve its performance to a substantial extent. In addition, a deep learning package called Keras API comes into action wherein it offers ways to load, prepare, and process input images.