Resizing algorithms — how to deal with edges?

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Mark Scott Abeln
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Resizing algorithms — how to deal with edges?
10 months ago

A correspondent asked me to look into the implementation of bicubic image resampling algorithms, and is wondering how to deal with edges. Since the bicubic methods rely on a number of neighboring pixels, some method must be used to ‘fake’ the data along the edges.

Simply by looking at upsized Photoshop images, it appears that the pixels along the edges are duplicated, since an uprezed image appears to have a ‘border’ around it, with no diagonal detail. I tried the same thing with a generic cubic uprez in ImageMagick, and (while the output was considerably different) it still appeared to have a border artifact.

Is this considered acceptable to most developers, or are there better methods for faking the data? Other suggested methods include adding black pixels to the outside of the data, or duplicating some interior neighbor pixels to the outside.

Original, magnified 500%:

Photoshop bicubic from 100x100 to 172x172, magnified, with obvious border region:

My gut feeling is that duplicating the pixels to the outside is likely adequate, but perhaps some sort of extrapolation could be useful.

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