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Perona-Malik 異方性拡散は、シャープなエッジを維持しながら平らな領域を滑らかにします。重要な構造を維持しながらノイズ除去に最適です。
Perona-Malik 異方性拡散により、エッジや重要な構造境界を維持しながら画像ノイズを低減します。
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Anisotropic diffusion is an edge-preserving smoothing technique based on the heat equation. Unlike Gaussian blur which smooths everything uniformly, it adapts the diffusion rate based on local gradients — smoothing flat areas while leaving edges sharp.
Both preserve edges, but anisotropic diffusion is an iterative PDE-based method that naturally evolves over time, while bilateral filtering is a single-pass weighted average. Anisotropic diffusion often produces more natural-looking results for denoising.