Video Distortion Detection and Classification In The Context Of Video Surveillance

Abstract

Video sensors with higher resolution have been developed, however, environmental factors, encoding, and storage technologies often cause distortions in video quality. As a result, the recording or video may become unusable. To enhance the visual and audio elements of the recording and eliminate these distortions, the opener is to identify and categorize the types of alterations existing. This project aims to counter alterations present in the recording, classify the sort of alteration, and determine the level of alteration present. Additionally, this project will address the classification of multiple types of alteration.