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Content Provider | IEEE Xplore Digital Library |
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Author | Shahid, M. Gupta, S. |
Copyright Year | 2005 |
Description | Author affiliation: Aeronaut. Dev. Establ., Defence Res. & Dev. Organ., Bangalore (Shahid, M.) |
Abstract | Fusion is basically extraction of best of inputs and conveying it to the output. In this paper, we present an image fusion technique using the dual tree complex wavelet transform (DT-CWT). We have proposed novel masks to extract information from the decomposed structure using DT-CWT. The main goal of this paper is to introduce a new approach to fuse multimodality images using dual tree complex wavelet transform. Experiment results show that the proposed fusion method based on complex wavelet transform is remarkably better than the fusion method based on classical discrete wavelet transform. This method is relevant to visual sensitivity and tested by merging multisensor, multispectral and defocused images apart from CT and MR images. Fusion is achieved through the formation of a fused pyramid using the DTCWT coefficients from the decomposed pyramids of the source images. The fused image is obtained through conventional inverse dual tree complex wavelet transform (DTCWT) reconstruction process. Results obtained using the proposed method show a significant reduction of distortion. |
Starting Page | 1 |
Ending Page | 6 |
File Size | 6776345 |
Page Count | 6 |
File Format | |
ISBN | 0780393112 |
DOI | 10.1109/TENCON.2005.300977 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-11-21 |
Publisher Place | Australia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image fusion Discrete wavelet transforms Image registration Signal resolution Data mining Image sensors Sensor fusion Wavelet transforms Spatial resolution Feature extraction |
Content Type | Text |
Resource Type | Article |
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