Title :
Real time video denoising
Author :
Reeja, S.R. ; Kavya, N.P.
Author_Institution :
CSE Dept., RNSIT, Bangalore, India
Abstract :
This paper is dedicated for achieving real-time video denoising. A detailed year wise survey has been given in the paper. A sophisticated method has been proposed for achieving real-time video denoising. The basic idea behind is to use different filtering strategies for background and moving images. Firstly, background and moving images are separated by changing detection technique. Then temporal averaging filter and spatial filter are used for recovering the background and moving objects, respectively. Thus, detail preserving can be performed in the real time.
Keywords :
image denoising; image motion analysis; spatial filters; video signal processing; background object recovery; changing detection technique; detail preservation; filtering strategy; moving image; moving object recovery; real time video denoising; spatial filter; temporal averaging filter; Filtering; Image sequences; Noise; Noise reduction; Real time systems; Streaming media; Vectors; real time; temporal and spatial filter; video denoising;
Conference_Titel :
Engineering Education: Innovative Practices and Future Trends (AICERA), 2012 IEEE International Conference on
Conference_Location :
Kottayam
Print_ISBN :
978-1-4673-2267-6
DOI :
10.1109/AICERA.2012.6306745
