how we can amplify an image with nearest neighbour interpolation

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aswathy am 30 Sep. 2014

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Kommentiert: Mohammad Abouali am 3 Okt. 2014

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how we can amplify an image with nearest neighbour interpolation

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Mohammad Abouali am 30 Sep. 2014

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Amplify?? you mean resize? if that's what you mean here is the code

IResized= imresize(I,scale,'nearest');

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Mohammad Abouali am 2 Okt. 2014

Bearbeitet: Mohammad Abouali am 2 Okt. 2014

I understand what is nearest neighbor interpolation and what is bilinear interpolation

1) it is a C0 interpolation and as you perfectly described, it just takes the value of the closest point. Although it might sound strange, but that is still type of interpolation and it is known as C0 interpolation.

2) (s)he wants to do nearest neighbor interpolation, (read his/her question). I don't know why that is the method being requested, but nearest neighbor is the method requested in the question.

If it was atmospheric data, I could imagine why using nearest neighbor interpolation. Also in processing spectral images (in remote sensing) we often prefer nearest neighbor interpolation because those numbers are measurements and we don't want to mess up the measurements.

So I don't know why (s)he asked for that method. But I am guessing there is a reason for it. Nearest neighbor doesn't necessary gives an smooth surface anyway.

Image Analyst am 2 Okt. 2014

OK, that's fine. I agree with everything you said. I've never heard of "C0 Interpolation" but if that's standard terminology in some sub-field of image processing, that's fine.

Mohammad Abouali am 3 Okt. 2014

Actually I made a mistake it is C-1. It is one order lower than the polynomial being used. It means continuity. C0 means the curves touches at the boundary( Which in nearest neighbor clearly doesn't). C1 means the first derivative is also continuous and so on.

http://en.wikipedia.org/wiki/Smoothness

Go down to parametric continuity.

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