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https://dspace.univ-ouargla.dz/jspui/handle/123456789/8569
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DC Field | Value | Language |
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dc.contributor.author | SELLAMI, SALAH | - |
dc.contributor.author | OMARI, SALAH EDDINE | - |
dc.date.accessioned | 2015-05-03T11:18:58Z | - |
dc.date.available | 2015-05-03T11:18:58Z | - |
dc.date.issued | 2015-05-03 | - |
dc.identifier.issn | YA | - |
dc.identifier.uri | http://dspace.univ-ouargla.dz/jspui/handle/123456789/8569 | - |
dc.description | Kasdi Merbah University Ouargla | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | BENZAOUI WAFA | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | 2015; | - |
dc.subject | Video enhancement | en_US |
dc.subject | Video fusion | en_US |
dc.subject | Video surveillance | en_US |
dc.subject | Color night vision | en_US |
dc.subject | Look-Up Table | en_US |
dc.subject | Discrete Wavelet Transform(DWT | en_US |
dc.title | Video Enhancement for Intelligent Surveillance in Poor Lighting Conditions | en_US |
dc.type | Article | en_US |
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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