Color filter arrays based on mutually exclusive blue noise patterns
نویسندگان
چکیده
The ordered color filter arrays (CFA) used in single-sensor, color digital still cameras introduce distracting color artifacts. These artifacts are due to the phase-shifted, aliased signals introduced by the sparse sampling by the CFAs. This work reports the results of an investigation on the possibility of using random patterns as a CFA for single-sensor, digital still cameras. From a single blue noise mask pattern, three mutually exclusive, random CFAs are constructed representing the red, green, and blue color filters. An edge adaptive method, consisting of missing-pixel edge detection and boundary-sensitive interpolation is employed to reconstruct the entire image. Experiments have shown that the random CFA alleviates the problem of the low-frequency color banding associated with ordered arrays. This method also has the advantage of better preserving color-free, sharp neutral edges and results in less deviation-fromneutral on high-frequency, monochrome information. C © 1999 Academic Press
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