Data Science Numerical Analysis
Anisotropic diffusion is a process used in image processing and computer vision that allows for the smoothing of images while preserving important features like edges. This technique differs from isotropic diffusion, which smooths uniformly in all directions, by varying the diffusion rate based on the local image structure, effectively reducing noise while maintaining critical details.
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