Image AlgorithmsTool Introduction
Sharpen USM (Unsharp Mask) is the most classic sharpening algorithm: first apply Gaussian blur to keep low frequencies, subtract the blurred image from the original to get the high-frequency detail mask, then add the weighted mask back. The threshold parameter suppresses mask values below the threshold, preventing noise amplification in flat areas. Supports amount (0–300%), radius (σ 0.5–5), and threshold (0–40).
Key Formula / Principle
I_blur = Gaussian(I, σ=radius) mask = I − I_blur out = I + (amount/100) × mask (only when |mask| > threshold)
Data Processed Locally|All computations run in your browser. Images, formulas, state machine definitions, and any other input data are never sent to any server.
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