Image Sequence Fusion and Denoising Based on 3D Shearlet Transform
Joint Authors
Xu, Liang
Du, Junping
Zhang, Zhenhong
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xu, Liang& Du, Junping& Zhang, Zhenhong. 2014. Image Sequence Fusion and Denoising Based on 3D Shearlet Transform. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-488401
Modern Language Association (MLA)
Xu, Liang…[et al.]. Image Sequence Fusion and Denoising Based on 3D Shearlet Transform. Journal of Applied Mathematics No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-488401
American Medical Association (AMA)
Xu, Liang& Du, Junping& Zhang, Zhenhong. Image Sequence Fusion and Denoising Based on 3D Shearlet Transform. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-488401
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-488401