Using interpolation to restore corrupted image data?

2 vues (au cours des 30 derniers jours)
Ella Kaplan
Ella Kaplan le 23 Mar 2017
Commenté : Stephen23 le 23 Mar 2017
So I'm trying to restore corrupted image data using interpolation and am having less than zero luck. I have tried a bunch of different things and none of them seem to help. Here's what I have right now which generates an image but it looks exactly the same as the original. Any suggestions? (The image data was given in a 195x1099 double)
paint=SanRomano;
sizeP=size(paint);
x=1:sizeP(1);
y=1:sizeP(2);
figure(3);
[xGrid,yGrid]=meshgrid(1:1:1099,1:1:195);
[xS,yS]=meshgrid(1:0.5:1099,1:0.5:195);
vq=interp2(xGrid,yGrid,paint,xS,yS,'cubic');
image(vq)

Réponses (2)

Jan
Jan le 23 Mar 2017
An interpolation is only useful for the restauration of an image, if the damaged pixles are identified at first an then replaced by the interpolation of the neigboring pixels. Currently your interpolation inserts only pixels between the existing pixels with their interpolated values. This means that you get the corrupted image with a finer resolution, but no substantial changes.
  2 commentaires
Ella Kaplan
Ella Kaplan le 23 Mar 2017
Is there a different method that would result in substantial changes?
Stephen23
Stephen23 le 23 Mar 2017
@Ella Kaplan: you need to identify the "corrupted" pixels, and interpolate new values at those positions. The interpolation is the easy part. Identifying the corrupt pixels is the hard part: start by using google scholar.

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Walter Roberson
Walter Roberson le 23 Mar 2017
Modifié(e) : Walter Roberson le 23 Mar 2017
If you replace the damaged pixels with nan then you could use John D'Errico file exchange contribution inpaint_nan

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