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15 November 2007 Image fusion algorithm using nonsubsampled contourlet transform
Yang Xiao, Kai Wang
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Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67871N (2007) https://doi.org/10.1117/12.749954
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
In this paper, a pixel-level image fusion algorithm based on Nonsubsampled Contourlet Transform (NSCT) has been proposed. Compared with Contourlet Transform, NSCT is redundant, shift-invariant and more suitable for image fusion. Each image from different sensors could be decomposed into a low frequency image and a series of high frequency images of different directions by multi-scale NSCT. For low and high frequency images, they are fused based on local-contrast enhancement and definition respectively. Finally, fused image is reconstructed from low and high frequency fused images. Experiment demonstrates that NSCT could preserve edge significantly and the fusion rule based on region segmentation performances well in local-contrast enhancement.
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Yang Xiao and Kai Wang "Image fusion algorithm using nonsubsampled contourlet transform", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871N (15 November 2007); https://doi.org/10.1117/12.749954
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KEYWORDS
Image fusion
Image segmentation
Evolutionary algorithms
Image sensors
Image enhancement
Image filtering
Expectation maximization algorithms
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