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What is Demosaicing?

Demosaicing reconstructs full-color pixels from incomplete samples recorded through a camera sensor’s color filter array, such as a Bayer filter. It is also called color reconstruction, CFA interpolation, or debayering.

How Demosaicing works

A single-sensor color camera records only one filtered color measurement at most sensor sites. Reconstruction uses neighboring samples and a declared color-filter layout to infer the missing components at each output pixel. Edge-aware and frequency-aware methods try to follow scene structure rather than interpolate blindly across it. The result feeds later RAW stages such as color calibration, denoising, tone mapping, and conversion to a delivery color space.

Key facts

  1. The CFA pattern and sensor orientation must be interpreted together; using the wrong Bayer phase swaps color positions and yields strong color casts or repeating false-color structure.
  2. High-frequency detail near the sampling limit can be mistaken for color variation, creating moiré and colored aliases that later sharpening may make more conspicuous.
  3. Joint demosaicing and denoising can use the original mosaic noise statistics, whereas denoising only after interpolation must handle spatially correlated color errors created by reconstruction.

When Demosaicing matters

Perform demosaicing early in a RAW workflow before color correction, enhancement, and output encoding. Algorithm choice trades sharp detail against false color, zippering, noise, and computational cost.

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