Curvature-Driven Min/Max Flow and Anisotropic Diffusion in Image Enhancement
نویسنده
چکیده
We compare application of two partial differential equation methods in image enhancement. The first method is based on the curvature-driven min/max flow and originates from the level set methods. The second method is an anisotropy diffusion flow. The curvature-driven method seems to enhance better the significant edges in the image, whereas the anisotropic diffusion seems to work better with smoothing intra-regional image features.
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