Color segmentation as an aid to white balancing for digital still cameras

Ted J. Cooper

doi:10.1117/12.410787

21 December 2000 Color segmentation as an aid to white balancing for digital still cameras

Ted J. Cooper

Proceedings Volume 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI; (2000) https://doi.org/10.1117/12.410787
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

Digital Still Cameras employ automatic white balance techniques to adjust sensor amplifier gains so that white imaged objects appear white. A color cast detection algorithm is presented that uses histogram and segmentation techniques to select near-neutral objects in the image. Once identified and classified, these objects permit determination of the scene illuminant and implicitly the respective amplifier gains. Under certain circumstances, a scene may contain no near-neutral objects. By using the segmentation operations on non-neutral image objects, memory colors, from skin, sky, and foliage objects, may be identified. If identified, these memory colors provide enough chromatic information to predict the scene illuminant. By combining the approaches from near-neutral objects with those of memory color objects, a reasonable automatic white balance over a wide range of scenes is possible.

Citation Download Citation

Ted J. Cooper "Color segmentation as an aid to white balancing for digital still cameras", Proc. SPIE 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI, (21 December 2000); https://doi.org/10.1117/12.410787

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