Image Sequence Fusion and Denoising Based on 3D Shearlet Transform
We propose a novel algorithm for image sequence fusion and denoising simultaneously in 3D shearlet transform domain. In general, the most existing image fusion methods only consider combining the important information of source images and do not deal with the artifacts. If source images contain nois...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/652128 |
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| _version_ | 1832550738557927424 |
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| author | Liang Xu Junping Du Zhenhong Zhang |
| author_facet | Liang Xu Junping Du Zhenhong Zhang |
| author_sort | Liang Xu |
| collection | DOAJ |
| description | We propose a novel algorithm for image sequence fusion and denoising simultaneously in 3D shearlet transform domain. In general, the most existing image fusion methods only consider combining the important information of source images and do not deal with the artifacts. If source images contain noises, the noises may be also transferred into the fusion image together with useful pixels. In 3D shearlet transform domain, we propose that the recursive filter is first performed on the high-pass subbands to obtain the denoised high-pass coefficients. The high-pass subbands are then combined to employ the fusion rule of the selecting maximum based on 3D pulse coupled neural network (PCNN), and the low-pass subband is fused to use the fusion rule of the weighted sum. Experimental results demonstrate that the proposed algorithm yields the encouraging effects. |
| format | Article |
| id | doaj-art-f99edc36db75401bb5c08545733a71f9 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-f99edc36db75401bb5c08545733a71f92025-02-03T06:06:01ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/652128652128Image Sequence Fusion and Denoising Based on 3D Shearlet TransformLiang Xu0Junping Du1Zhenhong Zhang2Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaBeijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaBeijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaWe propose a novel algorithm for image sequence fusion and denoising simultaneously in 3D shearlet transform domain. In general, the most existing image fusion methods only consider combining the important information of source images and do not deal with the artifacts. If source images contain noises, the noises may be also transferred into the fusion image together with useful pixels. In 3D shearlet transform domain, we propose that the recursive filter is first performed on the high-pass subbands to obtain the denoised high-pass coefficients. The high-pass subbands are then combined to employ the fusion rule of the selecting maximum based on 3D pulse coupled neural network (PCNN), and the low-pass subband is fused to use the fusion rule of the weighted sum. Experimental results demonstrate that the proposed algorithm yields the encouraging effects.http://dx.doi.org/10.1155/2014/652128 |
| spellingShingle | Liang Xu Junping Du Zhenhong Zhang Image Sequence Fusion and Denoising Based on 3D Shearlet Transform Journal of Applied Mathematics |
| title | Image Sequence Fusion and Denoising Based on 3D Shearlet Transform |
| title_full | Image Sequence Fusion and Denoising Based on 3D Shearlet Transform |
| title_fullStr | Image Sequence Fusion and Denoising Based on 3D Shearlet Transform |
| title_full_unstemmed | Image Sequence Fusion and Denoising Based on 3D Shearlet Transform |
| title_short | Image Sequence Fusion and Denoising Based on 3D Shearlet Transform |
| title_sort | image sequence fusion and denoising based on 3d shearlet transform |
| url | http://dx.doi.org/10.1155/2014/652128 |
| work_keys_str_mv | AT liangxu imagesequencefusionanddenoisingbasedon3dshearlettransform AT junpingdu imagesequencefusionanddenoisingbasedon3dshearlettransform AT zhenhongzhang imagesequencefusionanddenoisingbasedon3dshearlettransform |