Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/8569
Title: | Video Enhancement for Intelligent Surveillance in Poor Lighting Conditions |
Authors: | SELLAMI, SALAH OMARI, SALAH EDDINE |
Keywords: | Video enhancement Video fusion Video surveillance Color night vision Look-Up Table Discrete Wavelet Transform(DWT |
Issue Date: | 3-May-2015 |
Series/Report no.: | 2015; |
Abstract: | This work deals with the research work involved in the design of efficient system for intelligent video surveillance applications. A system of video/image fusion and enhancement for visibility improvement is proposed in this work for intelligent surveillance at night or under bad weather conditions. Two videos are acquired, one by a color CCD camera, and the other by a infrared camera (IR). Before performing multispectral fusion, image registration and image preprocessing (denoising, Normalization and enhancement) are required. The IR image and the visible image are then fused. First, a pixel-level multi-resolution based image fusion method is applied to source images. Techniques which will be used in multispectral fusion are Discrete Wavelet Transform(DWT) then the Dual-Tree Complex Wavelet Transform (DT-CWT). After image fusion, a color restoration is performed on fused images with the chromatic information of visible images. We will propose a Modified Look-Up Table (LUT) technique to color the night video. The entire image processing and analysis system will be developed in Matlab/Simulink environment. Preliminary results of fusion obtained in some experiments are presented. |
Description: | Kasdi Merbah University Ouargla |
URI: | http://dspace.univ-ouargla.dz/jspui/handle/123456789/8569 |
ISSN: | YA |
Appears in Collections: | Département des télécommunications et contrôle Mastériales |
Files in This Item:
File | Description | Size | Format | |
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master-SELLAMI-OMARI.pdf | 2,53 MB | Adobe PDF | View/Open |
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