What every coder should know about Gamma Correction

a day ago

Gamma correction is crucial for accurate image processing, yet many developers overlook it.
Human vision perceives brightness non-linearly, so gamma encoding ensures efficient use of bit-depth in images.
Most image processing algorithms expect linearly encoded data; working directly on gamma-encoded (e.g., sRGB) data leads to incorrect results.
Common errors include incorrect gradients, color blending, alpha compositing, resizing, antialiasing, and physically-based rendering.
The sRGB color space uses a gamma close to 2.2 and is the standard for consumer devices and the internet.
Proper gamma handling involves decoding images to linear space before processing, then re-encoding for display.
Many graphics libraries and software tools, including Photoshop and CSS, historically mishandle gamma, leading to visual artifacts.
For physically-based rendering, gamma correctness is essential to achieve realistic lighting and materials.
Developers should always assume sRGB for input/output unless specified otherwise and document color space assumptions in their software.
Testing and awareness are key, as gamma issues can be subtle but significantly impact image quality.

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