Confidence based weighting for color interpolation
A color interpolation method uses a first interpolation function (F 1 ) to obtain a first missing color sub-pixel value for a pixel of interest and uses a second interpolation function (F 2 ) to obtain a second missing color sub-pixel value for the pixel of interest. First metric (V) indicative of a...
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Zusammenfassung: | A color interpolation method uses a first interpolation function (F 1 ) to obtain a first missing color sub-pixel value for a pixel of interest and uses a second interpolation function (F 2 ) to obtain a second missing color sub-pixel value for the pixel of interest. First metric (V) indicative of an edge extending in a first direction (D 1 ) is obtained. Second metric (H) indicative of an edge extending in a second direction (D 2 ) is obtained. The two metrics are used to generate first and second weighting factors (k 1 , k 2 ). A confidence factor value can be used to place more emphasis on one metric versus the other metric in the determination of the weighting factors. In one embodiment, the sub-pixel value being interpolated is the weighted sum of the first weighting factor multiplied by the first missing color sub-pixel value plus the second weighting factor multiplied by the second missing color sub-pixel value. |
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