Denoising
The process of reducing random visual noise, such as grain and colored speckles, while preserving real image detail.
Image noise often appears in photos taken in low light, at high ISO settings, or with small camera sensors. Luminance noise looks like brightness grain, while chroma noise appears as random colored speckles. Conventional filters average nearby pixels, which can reduce noise but also soften edges and texture. AI denoising instead estimates which variations are noise and which belong to the scene.
Denoising is useful for night, indoor, concert, and event photos. Results depend on the source: moderate noise can often be reduced cleanly, while severe noise or heavy underexposure may leave artifacts or require stronger processing that softens fine detail. For a practical workflow, start with the original file, denoise before sharpening, then inspect faces, text, hair, and repeated textures at 100% view. Magic Eraser's AI Enhance includes denoising alongside sharpening and color correction; review the result rather than treating lost detail as recoverable.
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