Re: interpolation for a color image?

AE lover <aelover11@xxxxxxxxx> wrote in news:2a03e221-19de-4e85-81d1-0b0e3ee4d7e3
@k37g2000hsf.googlegroups.com:

Hi all,

I am considering the case of bilinear interpolation for a color image
(say RGB image), to apply a bilinear interpolation, will we apply the
formular of bilinear interpolation, which we use for a gray image, for
each channel R, G, and B, separately?
If so, why don't we take into account the interaction between three
channels?

Thanks


Since resizing is a spatial transformation, it should be invariant to intensity levels (mono or RGB).
Hence, it should not really matter if you do 3x (RGB) or 1x resizing (mono). On the other hand,
interpolation errors on reparate RGB channels may produce a new (combined) pixel value slightly
different of the original one, leading to a color-distorted image (probably in the form of small color shifts
at pixel-level scales).

My advice would be: (1) store the RGB ratios for each pixel, i.e., keep the original image, (2) convert
the image into intensity matrix using a standard (linear) formula, (3) resize the intensity matrix, (4)
convert the intensity matrix back to RGB using the values/ratios for each pixel form the original image.
The single-channel approach cuts down your processing time almost to a factor of one-third (plus
RGB conversions). Of course, you also need a mapping from the original to the new pixels (1 pixel ->
N pixels), so it is much simpler if you use integer multipliers in resizing (e.g. x2, x3, etc).


--
Harris
.

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