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- W2390087074 abstract "The curvelet transform represents edges and details better than wavelets,and is therefore well-suited for multiscale image denoising.According to the defects of soft thresholding and hard thresholding image denoising methods,the method between soft and hard thresholding image denoising approach in curvelet domain is proposed,and the curvelet transform coefficients in different subbands are filtered with adaptive thresholds.Experiment results show that the new method yields denoised images with higher quality recovery of edges and of faint linear and curvilinear features.It is capable of achieving the higher peak signal-to-noise ratio(PSNR) and giving better visual quality." @default.
- W2390087074 created "2016-06-24" @default.
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- W2390087074 date "2007-01-01" @default.
- W2390087074 modified "2023-09-23" @default.
- W2390087074 title "A image denoising method between soft and hard thresholding based on Curvelet transform" @default.
- W2390087074 hasPublicationYear "2007" @default.
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