Multi-sensor image enhancement and fusion for vision clarity using contourlet transform
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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/355/ http://scholars.utp.edu.my/id/eprint/355/1/paper.pdf |
| _version_ | 1848658963211485184 |
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| author | Asmare , M.H. Asirvadam , Vijanth Sagayan Iznita , L. |
| author_facet | Asmare , M.H. Asirvadam , Vijanth Sagayan Iznita , L. |
| author_sort | Asmare , M.H. |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | 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.
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| first_indexed | 2025-11-13T07:22:52Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:355 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:22:52Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:3552017-01-19T08:25:36Z http://scholars.utp.edu.my/id/eprint/355/ Multi-sensor image enhancement and fusion for vision clarity using contourlet transform Asmare , M.H. Asirvadam , Vijanth Sagayan Iznita , L. TK Electrical engineering. Electronics Nuclear engineering 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. 2009 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/355/1/paper.pdf 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 . http://www.scopus.com/inward/record.url?eid=2-s2.0-70349487239&partnerID=40&md5=16b3206fc1728f4726e2665f87f031a3 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Asmare , M.H. Asirvadam , Vijanth Sagayan Iznita , L. Multi-sensor image enhancement and fusion for vision clarity using contourlet transform |
| title | Multi-sensor image enhancement and fusion for vision clarity using contourlet transform
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| title_full | Multi-sensor image enhancement and fusion for vision clarity using contourlet transform
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| title_fullStr | Multi-sensor image enhancement and fusion for vision clarity using contourlet transform
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| title_full_unstemmed | Multi-sensor image enhancement and fusion for vision clarity using contourlet transform
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| title_short | Multi-sensor image enhancement and fusion for vision clarity using contourlet transform
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| title_sort | multi-sensor image enhancement and fusion for vision clarity using contourlet transform |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/355/ http://scholars.utp.edu.my/id/eprint/355/ http://scholars.utp.edu.my/id/eprint/355/1/paper.pdf |