White point determination using correlation matrix memory

Details White point determination using correlation matrix memory White point determination using correlation matrix memory

1997-11-14

2000-03-14

Lee, Thomas D.

Image analysis

Color image processing

382274, 358516, 358518, G06K 900, G06K 940, H04N 146, G03F 308

Patent

active

060383399

ABSTRACT:
Color digital imaging quality is improved by quickly, accurately and robustly estimating illuminant information associated with a color digital image to correct color of the image based on the illuminant. A "correlation matrix memory" or "associative matrix memory" is used to achieve identical results to the Color in Perspective method, and to improve it by adding Bayesian or other correlation statistics. The new method is insensitive to aperture colors and provides an effective framework on top of estimation. It will effortlessly return the maximum likelihood answer. A correlation matrix memory is built to correlate the data from any picture image to reference images under a range of illuminants. When a camera, scanner, or the like, produces a picture image, the data is converted to chromaticity and a vector is created corresponding to the values existing in the scene. This vector is multiplied by each column in the correlation matrix giving a new matrix. Each column is then summed, and the resulting values form a vector that represents the likelihood of each reference source being the illuminant of the scene. The vector values can be density plotted where each value is plotted at the chromaticity of the illumination for that particular column. From this plot normal statistical methods can be used to estimate the likely illumination of the scene. Greatly reduced computational requirements result because simple binary matrix algorithms replace complex geometrical calculations

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