Color Processing



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Color Processing | Noise Elimination | Compression

Everybody knows, that existing digital cameras do not provide true, real-life colors. Color accuracy depends on color capturing system parameters and color processing algorithms. We have replaced the original image processing, provided by camera makers, with our own algorithm. On this page you can see pictures made with Canon G2, Minolta DiMAGE 7, and Sony F828.
You can see, that our image-processing algorithms bring more realistic colors, natural structure of the objects and overall real-life appearance.
All work was done by our software program automatically. No manual correction!

Canon PowerShot G2

KWE processing for Canon G2
KWE processing
Camera maker's processing for Canon G2
Canon's processing

Analyzing pictures made with Canon camera it is easy to notice, that Canon increases an image contrast, intensifying blue and green colors, shifting violet into the blue zone and dark brown into the violet zone. To show how KWEII Processing works with real-life-objects, KWE Color Processing was applied to RAW data, received from the Canon G2, so you can compare Canon’s processing versus KWEII processing.
It has to be mentioned that the flower has been shot was violet, not blue.

Minolta DiMAGE 7

On these images you can compare Minolta's processing versus KWEII processing.
With KWE processing yellow flowers keep their yellow color on the image and green leafs has the same hue as they had in a real life.
KWE processing for Minolta DiMAGE 7
KWE processing
Camera maker's processing for Minolta DiMAGE 7
Minolta's processing

Sony DSC F828

KWE processing for Sony DSC F828
KWE processing
Camera maker's processing for Sony DSC F828
Sony's processing
We applied our Color Processing to RAW data, received from a Sony F828, so you can compare a Sony’s processing versus KWEII processing. Notice the green marker, which looks blue after Sony’s processing.

Quantitative comparison of camera makers Color Processing

New approach to the color theory, developed at KWE International, Inc. and applied to RAW image data processing, provides an opportunity to reduce the color recognition error in several times. The Color Recognition Root-Mean-Square Error (RMSE), computed for some cameras, is shown in the table below. The data for calculating the RMSE was obtained in experiment with Pantone colors.

Camera Sensor RMSE of Camera Maker's processing RMSE of KWE processing
Canon PowerShot G2 4 Mpixel, 3 color 16.8 4.24
Canon PowerShot G5 5 Mpixel, 3 color 11.4 3.54
Minolta DiMAGE 7 5 Mpixel, 3 color 21.5 4.43
Sony DSC F828 8 Mpixel, 4 color 12.7 2.95

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