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Technical Features - Low False Coloration
Image sensors that are equipped on most current digital cameras use Bayer alignment in order to produce color images.
This method uses one sensor for sampling one color, not for sampling the three primary colors Red, Green, and Blue (RGB) together. Sensors for each RGB color are aligned so that a color image can be acquired.
Bayer alignment causes unnatural coloration to appear at edges and detailed structures due to its characteristics. These are referred to as false colors.
False colors are caused for different reasons. For example, false colors may appear around an image due to lens aberration, difference in the refraction index causing the focal point to separate in front or behind the focus axis, due to return edge differences at high spacial frequencies, or due to electronic charge leakage from the image sensor. |
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False Color Sample Image 1
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False Color
The red and blue color around the highlights are false colors. This shows false coloration caused by difference in the refraction index, which separates the focus point, and the circle of confusion becomes different. |
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False Color Sample Image 2 |
False Color
This shows moire false coloration caused by difference in the return edge in reticulated portion of the high spacial frequency.
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SILKYPIX Developer Studio SE Version can greatly reduce false coloration by using highly accurate pixel prediction logic.
High resolution and low false coloration have conflicting characteristics. When high resolution is realized, false coloration increases, and when false coloration is reduced, resolution decreases.
However, SILKYPIX Developer Studio SE Version is able to accomplish both.
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Occurrence of False Colors in the Red Box of the Picture
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SILKYPIX |
Development Software D |
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