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• W2077842022 abstract "We propose an adaptive total variation (TV) model by introducing the steerable filter into the TV-based diffusion process for image filtering. The local energy measured by the steerable filter can effectively characterize the object edges and ramp regions and guide the TV-based diffusion process so that the new model behaves like the TV model at edges and leads to linear diffusion in flat and ramp regions. This way, the proposed model can provide a better image processing tool which enables noise removal, edge-preserving, and staircase suppression." @default.
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• W2077842022 date "2014-01-01" @default.
• W2077842022 modified "2023-09-26" @default.
• W2077842022 title "Image Denoising Using Total Variation Model Guided by Steerable Filter" @default.
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• W2077842022 doi "https://doi.org/10.1155/2014/423761" @default.
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