Photo Restoration using Open CV in Python: A Computer Vision Based Project

Subhojit Paul, Saikat Ghosh, Dhrupad Saha, Sourajit Paul, Rajesh Dusad, Mrinmoy Biswas

Abstract: At present image processing has become one of the very famous subjects for research area among rapidly growing technologies within engineering. This paper will explain how a damaged or corrupted image or photograph (cracked, torn or folded) can be restored using OpenCV (Open Source Computer Vision) in Python. Here we feed a damaged or corrupted image in the program along with a masked image as input and eventually we will get restored image as output. There are some methods like Denoising, Gray scaling, Thresholding, Dilation etc and few inbuilt function and algorithms are used to construct the code. Thus this is a very interesting, simple, and fascinating image processing technique and can be used for several purposes like restoring old, damaged or corrupted image for archiving purposes.

Keywords: Image Restoration, Computer Vision, OpenCV, Image Processing