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- W2382570802 abstract "The curvelet transform represents edges and details of image better than wavelet transform,and is therefore well-suited for image processing.A adaptive threshold image denoising method based on the second curvelet transform is proposed.The curvelet transform coefficients in different scales and directions are filtered with adaptive threshold.Experiments show that the method proposed yields denoised image with higher quality recovery of edges.It is capable of achieving the higher peak signal-noise-ratio and giving better visual quality." @default.
- W2382570802 created "2016-06-24" @default.
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- W2382570802 date "2010-01-01" @default.
- W2382570802 modified "2023-09-26" @default.
- W2382570802 title "Adaptive threshold image denoising methed based on curvelet transform" @default.
- W2382570802 hasPublicationYear "2010" @default.
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