State of the Art Analysis of Low Light Video Noise and Various Environmental Conditions for Enhancement
C Anitha1, R Mathusoothana S Kumar2
1C Anitha*, Computer Science & Engineering, NICHE, (Tamil Nadu), India.
2R Mathusoothana S Kumar, Information Technology, NICHE, (Tamil Nadu), India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 08, 2019. | Manuscript published on August 30, 2019. | PP: 4856-4862 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9123088619/2019©BEIESP | DOI: 10.35940/ijeat.F9123.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Environment, Lighting condition, Lowlight, Noise.