Open AccessState of the Art Analysis of Low Light Video Noise and Various Environmental Conditions for Enhancement
Author(s) -
C. Anitha,
R. Mathusoothana S. Kumar
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f9123.088619
Subject(s) - computer science , computer vision , noise (video) , coding (social sciences) , video denoising , artificial intelligence , digital image , image enhancement , digital video , scope (computer science) , transmission (telecommunications) , image processing , multimedia , video processing , image (mathematics) , video tracking , multiview video coding , telecommunications , mathematics , statistics , programming language
Noise present in the digital videos sequence during acquisition, coding, transmission and processing can be effectively removed only with a previous knowledge of noise origin. Hence we have to review the origin of noise in videos/images is a pre requisite to denoise the same. Videos have been captured under controlled or uncontrolled environment. Many researchers who are fervently engaged in enhancing of video images quality taken under different situations like low light ambience, sunny, rainy, snow, camera shake etc have come up with various technical ideas to improve the image quality. The scope of this paper is to make an analysis of the proposals to overcome video noise. An attempt is made to study the presently available algorithms widely used to enhance video images taken under different light condition.