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- W2372606768 abstract "Multiscale analysis methods based on the ARSIS concept have been emerging,in which the classical wavelet analysis appears not competent enough to provide the approximation precision and sparsity description of 2-D image edge due to its isotropic nature and limited direction,leading to some blur images.Curvelet,as a new multiscale analysis algorithm,is more appropriate for analysis of the image edge fusion method such as curve and line characteristics than wavelet.The second-generation curvelet with a brand new fusion model is proposed in this paper.The new fusion model involves both the linear weight sum model for the coarse coefficient and exclusive models for different scale fine coefficients,the adjustment of pan image A coefficients at 1°and 2°aiming at the same probability density function with the counterpart of B as well as that at 3°based on the determination of coefficient correlation between A and B.This method is applied to SPOT-5 image fusion and compared with the results produced by wavelet analysis and another curvelet analysis with the traditional fusion model.The fusion results demonstrate the advantage of curvelet over wavelet analysis both in spectral preservation and spatial detail enhancement.Meanwhile,the fusion model proposed by this paper can improve the performance of curvelet analysis with the traditional fusion model." @default.
- W2372606768 created "2016-06-24" @default.
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- W2372606768 date "2010-01-01" @default.
- W2372606768 modified "2023-09-23" @default.
- W2372606768 title "An Image Fusion Method Based on the Second Generation Curvelet Analysis within the ARSIS Concept Frame" @default.
- W2372606768 hasPublicationYear "2010" @default.
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