White Balance Adjustment in Image Processing
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Resource Overview
Detailed Documentation
Addressing white balance adjustment in image processing involves modifying image color temperature and tint to achieve superior color balance. This technique helps produce more realistic and accurate color representations. In image processing applications, developers can implement algorithms like the Gray World assumption or White Patch method, where key functions typically include color channel scaling and histogram analysis. The implementation often involves calculating color ratios from reference areas and applying corrections to all pixels. Accompanying documentation and sample images are provided to facilitate better understanding and application of white balance adjustment features, including code examples for automatic detection of neutral reference points and manual color temperature presets.
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