DocumentCode :
2962386
Title :
Enhancement of weather degraded video sequences using wavelet fusion
Author :
John, Jisha ; Wilscy, M.
Author_Institution :
Dept. of Comput. Sci., Univ. of Kerala, Trivandrum
fYear :
2008
fDate :
9-10 Sept. 2008
Firstpage :
1
Lastpage :
6
Abstract :
Under bad weather conditions, the contrast and colors of videos are degraded and it is imperative to include mechanisms that overcome weather effects from video sequences in order to make vision systems more reliable. Unfortunately it turns out that effects of weather cannot be overcome by simple image processing techniques. There are only few works and some existing methods in literature for enhancement of weather degraded video sequences. A novel approach is proposed in this paper that is used to enhance degraded video sequences. It enhances visibility of the frames and also maintains the color fidelity. First a background image is estimated for the video sequence. The enhancement method is then separately applied on this background image and on the estimated motion pixels. The enhancement method consists of three phases. The first phase estimates a global correction parameter and the second phase computes an approximate degradation measure. In the final phase a novel wavelet fusion method is used to obtain the enhanced frame. Performance analysis is carried out with the help of a contrast improvement index and sharpness measure. The method has been tested using real time video sequences and is found to give good results.
Keywords :
image enhancement; image sequences; motion estimation; video signal processing; wavelet transforms; approximate degradation measure; bad weather conditions; color fidelity; contrast improvement index; motion pixel estimation; performance analysis; real time video sequences; sharpness measure; vision systems; wavelet fusion; weather degraded video sequences; Degradation; Image processing; Machine vision; Motion estimation; Performance analysis; Phase estimation; Phase measurement; Pixel; Testing; Video sequences; Aerosol; airlight; color fidelity; contrast correction; video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetic Intelligent Systems, 2008. CIS 2008. 7th IEEE International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-2914-1
Electronic_ISBN :
978-1-4244-2915-8
Type :
conf
DOI :
10.1109/UKRICIS.2008.4798926
Filename :
4798926
Link To Document :
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