الفهرس 
ContentsOnly 14 pages are availabe for public view
Abstract
In video security system, one of the most important and difficult component is the video enhancement. The enhanced images should grantee more integrated and details of information. Most surveillance cameras produce low video quality that is difficult to understand and is not satisfied according to poor illumination and it lacks surrounding scene context. In this thesis, a combination of wavelet transforms and Contrast limited Adaptive Histogram Equalization (CLAHE) techniques is used to efficiently enhance videos through proposing a technique for handling the noises within video frames and enhancing the resolution of the video. Lifting Wavelet Transform (LWT) and Stationary Wavelet Transform (SWT) are applied to separate original frame into two sub-bands: the low-frequency sub-bands, and the high-frequency sub-bands which keep the significant information details in the frame. Thereafter, we apply the interpolation to correct the coefficients of the high-frequency and the original frame separately. Then, Inverse Lifting Wavelet Transform (ILWT) is used for the integration of all these enhanced sub-bands. Finally, CLAHE algorithm is applied to make the details of the frame more visible, and meaningful to generally improve the resolution of the video. The experiments results on low-resolution videos show that the proposed technique gives the superiority of over the conventional video enhancement techniques through enhancing the quality of resolution videos under various environmental conditions, alleviating noises, and avoiding the over-enhancement problems.