A new DCT-based multiresolution method for simultaneous denoising and fusion of SAR images

Radford, Darren, Kurekin, Andriy A., Marshall, Andrew David ORCID: https://orcid.org/0000-0003-2789-1395 and Lever, Kenneth V. 2006. A new DCT-based multiresolution method for simultaneous denoising and fusion of SAR images. Presented at: 2006 9th International Conference on Information Fusion (ICIF '06), Florence, Italy, 10-13 July 2006. Proceedings of the 2006 9th International Conference on Information Fusion. Piscataway, NJ: IEEE, 10.1109/ICIF.2006.301609

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Abstract

Individual multiresolution techniques for separate image fusion and denoising have been widely researched. We propose a novel multiresolution discrete cosine transform based method for simultaneous image denoising and fusion, demonstrating its efficacy with respect to discrete wavelet transform and dual-tree complex wavelet transform. We incorporate the Laplacian pyramid transform multiresolution analysis and a sliding window discrete cosine transform for simultaneous denoising and fusion of the multiresolution coefficients. The impact of image denoising on the results of fusion is demonstrated and advantages of simultaneous denoising and fusion for SAR images are also presented.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering
Uncontrolled Keywords:	DCT, Data fusion, Discrete Cosine Transform, SAR, denoising, multiresolution, speckle, synthetic aperture radar
Publisher:	IEEE
ISBN:	9781424409532
Related URLs:	Organisation
Last Modified:	21 Oct 2022 09:59
URI:	https://orca.cardiff.ac.uk/id/eprint/38619

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