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- W2066288859 abstract "Partial differential equations (PDEs) are well-known due to their good processing results which it can not only smooth the noise but also preserve the edges. But the shortcomings of these processes came to being noticed by people. In some sense, PDE filter is called cartoon model as it produces an approximation of the input image, use the same diffusion model and parameters to process noise and signal because it can not differentiate them, therefore, the image is naturally modified toward piecewise constant functions. A new method called a directional adaptive diffusion filter is proposed in the paper, which combines PDE mode with wavelet transform. The undecimated discrete wavelet transform (UDWT) is carried out to get different frequency bands which have obviously directional selectivity and more redundancy details. Experimental results show that the proposed method provides a performance better to preserve textures, small details and global information." @default.
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- W2066288859 date "2006-11-13" @default.
- W2066288859 modified "2023-09-23" @default.
- W2066288859 title "Image denoising using a directional adaptive diffusion filter" @default.
- W2066288859 doi "https://doi.org/10.1117/12.716728" @default.
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