Paper Info
Title
A New Dct-Based Multiresolution Method For Simultaneous Denoising And Fusion Of Sar Images
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.
Year
DOI
Venue
2006
10.1109/ICIF.2006.301609
2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4
Keywords
Field
DocType
data fusion, synthetic aperture radar, SAR, discrete cosine transform, DCT, multiresolution, denoising, speckle
Computer vision,Image fusion,Pattern recognition,Synthetic aperture radar,Computer science,Discrete cosine transform,Multiresolution analysis,Sensor fusion,Artificial intelligence,Discrete wavelet transform,Complex wavelet transform,Image resolution
Conference
Citations 
PageRank 
References 
2
0.38
8
Authors
4
Name
Order
Citations
PageRank
Darren Radford120.38
Andrey A. Kurekin2131.69
Dave Marshall3111.73
Kenneth Lever451.18