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- W1989555603 abstract "After analyzing the speckle model of SAR, a SAR image de-noising method based on Wavelet-Contourlet transform and principal component analysis is presented. Compared with Wavelet transform and Contourlet transform, Wavelet-Contourlet transform can express images more sparsely and obtain image structure better. Most of the existing methods for image de-noising rely on accurate estimation of noise variance. However, the estimation of noise variance is very difficult in Wavelet-Contourlet domain. Propose a new method for SAR image de-noising based on Wavelet-Contourlet transform and principal component analysis. Simulation results also corroborate that the proposed algorithm is efficient and performs significantly better in reducing the speckle noise, obtaining a higher peak signal-to-noise ratio, retaining the image details, and improving the visual effect." @default.
- W1989555603 created "2016-06-24" @default.
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- W1989555603 date "2014-10-01" @default.
- W1989555603 modified "2023-09-27" @default.
- W1989555603 title "De-noising of SAR images based on Wavelet-Contourlet domain and PCA" @default.
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- W1989555603 doi "https://doi.org/10.1109/icosp.2014.7015143" @default.
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