Multi-sensor image enhancement and fusion for vision clarity using contourlet transform

Asmare , M.H. and Asirvadam , Vijanth Sagayan and Iznita , L. (2009) Multi-sensor image enhancement and fusion for vision clarity using contourlet transform. In: 2009 International Conference on Information Management and Engineering, ICIME 2009 , 3 April 2009 through 5 April 2009 , Kuala Lumpur .

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A multi- sensor pixel based image fusion system using multi-resolution (MR) approach is proposed. Images captured by visual cameras are fused with those captured by night vision cameras for visibility improvement of a surveillance system and for driving at night or in bad weather conditions. Images captured by visual cameras in insufficient illumination generally have dark shadows and low contrast. This problem seriously affects other further processing schemes. Before fusion a pre visual image contrast enhancement process is done. Multi-resolution decomposition is performed at each input image and they are combined according to the predefined fusion rules. Different fusion rules are defined for the approximate and detail coefficients. The Contourlet transform is used for the multi-resolution decomposition. Contourlet transform has better performance in representing the image salient features such as edges, lines, curves and contours because of its anisotropy and directionality. It is therefore well-suited for multi-resolution image enhancement and fusion. The simulation results show that this approach gives encouraging results for applications in low light and/or non uniformlighting conditions. The composite image contains almost all of the salient features of the input images and it appears to be natural. © 2009 IEEE.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Composite images; Contourlet transform; Detail coefficients; Fusion rule; Image fusion systems; Input image; Low contrast; Low light; Multi resolution decomposition; Multi sensor; Multi sensor images; Multi-resolutions; Multiresolution; Multiresolution images; Night-vision cameras; Salient features; Simulation result; Surveillance systems; Visibility improvement; Visual image; Weather conditions; Cameras; Image enhancement; Image segmentation; Information management; Multiresolution analysis; Security systems; Sensors; Image fusion
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:355
Deposited By: Dr Vijanth Sagayan Asirvadam
Deposited On:04 Mar 2010 09:18
Last Modified:19 Jan 2017 08:25

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