Using interpolation to restore corrupted image data?

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Ella Kaplan
Ella Kaplan el 23 de Mzo. de 2017
Comentada: Stephen23 el 23 de Mzo. de 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)

Respuestas (2)

Jan
Jan el 23 de Mzo. de 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 comentarios
Ella Kaplan
Ella Kaplan el 23 de Mzo. de 2017
Is there a different method that would result in substantial changes?
Stephen23
Stephen23 el 23 de Mzo. de 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 el 23 de Mzo. de 2017
Editada: Walter Roberson el 23 de Mzo. de 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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