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- W2389350078 abstract "The theory on Shearlet transform is in-depth analyzed,and specific steps of Shearlet transform is put forward,a new hybrid filtering algorithm is given so as to deal with the salt pepper nois in image. Firstly,the noise image is conducted Shearlet transform,obtaining high-frequency and lowfrequency coefficient. Duo to the low-frequency is not bothered by image noise,so it is being keep unchanged. Secondly,the high Shearlet transform high-frequency coefficient can characterization the localization properties of the noise,so a new adaptive median filter is designed. The filter has the characteristic of multi-scale,multi-direction,series / parallel to detect and filter the image noise effectively. Finally,the low-frequency coefficient and highfrequency coefficient is reconstructed. The experiment results show that,the filtering method in this paper is better for high intensity salt pepper noise than the Wavelet threshold and adaptive switch median filtering method." @default.
- W2389350078 created "2016-06-24" @default.
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- W2389350078 date "2013-01-01" @default.
- W2389350078 modified "2023-09-25" @default.
- W2389350078 title "New Hybrid Filtering Algorithm for Image Noise Based on Shearlet Transform Domain" @default.
- W2389350078 hasPublicationYear "2013" @default.
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