eprintid: 690
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/06/90
datestamp: 2023-11-09 15:48:50
lastmod: 2023-11-09 15:48:50
status_changed: 2023-11-09 15:22:58
type: conference_item
metadata_visibility: show
creators_name: Asmare, M.H.
creators_name: Asirvadam, V.S.
creators_name: Iznita, L.
title: Multi-sensor image enhancement and fusion for vision clarity using contourlet transform
ispublished: pub
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
note: cited By 15; Conference of 2009 International Conference on Information Management and Engineering, ICIME 2009 ; Conference Date: 3 April 2009 Through 5 April 2009; Conference Code:77334
abstract: 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.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349487239&doi=10.1109%2fICIME.2009.112&partnerID=40&md5=2eb64e167d56a55e11ffdb383b5a5e88
id_number: 10.1109/ICIME.2009.112
full_text_status: none
publication: Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009
place_of_pub: Kuala Lumpur
pagerange: 352-356
refereed: TRUE
isbn: 9780769535951
citation:   Asmare, M.H. and Asirvadam, V.S. and Iznita, L.  (2009) Multi-sensor image enhancement and fusion for vision clarity using contourlet transform.  In: UNSPECIFIED.