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How Senseye Processes Images Like the Human Eye?
Three advanced image-processing engines are the core of Senseye's "human vision" technology.
How the Process of Senseye Image Enhancement Technology Works?
RGB signals are first transformed into YUV signals: YUV is a type of image signal which is closer to the image formed by the human eye. It displays richer and more complete colors.
It deconstructs YUV signals into brightness (Y) and color (UV).
The "Contrast Enhancement Engine" processes brightness (Y), while the "Color Management Engine" processes color (UV).
It combines the processed brightness (Y) and color (UV) as YUV signals.
Then the "Sharpness Enhancement Engine" processes the image's sharpness and fine-tunes the flaws.
Eventually, the YUV signals are transformed back to RGB signals for image output.
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