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The colors of the missing pixels thereby are predicted simultaneously, allowing prediction in cases where the entire neighborhoods of pixels have to be predicted.
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L.C.D. monitor manufacturers generally consider one or even a few missing pixels to be acceptable, so the defect may not be covered by the warranty.
Bottom row: feature maps with missing pixels.
In this case, the missing pixels are interpolated by the weighted average of neighboring pixels.
Fig. 5 The pixel grid with question marks denote missing pixels not properly determined by the Shift-Add fusion technique.
Demosaicing algorithms interpolate missing pixels in a raw image taken from one Charged Coupled Device (CCD) array, upsampling the number of the pixels present in the image.
Relative frequency maps of missing pixels were assembled to assess whether systematic biases were embedded within this Landsat CDR.
According to the determined edge direction, the missing pixels are interpolated with weighting functions.
The question marks denote missing pixels that were not recovered using the Shift-Add fusion technique.
The weights will adapt in a non-trivial way to the missing pixels [5,9,10].
Another application of this technology is to find missing pixels or blocks in an image.
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