Image AlgorithmsTool Introduction
Auto White Balance (AWB) estimates the scene illuminant color temperature and applies R/B channel gains to restore neutral gray, removing color cast caused by different light sources. Provides two classic algorithms for comparison: Gray World (assumes scene average is gray) and White Patch (assumes the brightest point is white), with adjustable high percentile for overexposure noise robustness.
Key Formula / Principle
Gray World: gainR = Gavg / Ravg, gainB = Gavg / Bavg White Patch: gain = 255 / percentile(channel) Pixel_out = clamp(Pixel × gain, 0, 255)
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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