How to perform Cubic interpolation on images?

Hi , I have a series of 180 images, I want to apply cubic interpolation on them. How can I do that? Thank you

Answer 1

[Matt J]

 F=griddedInterpolant(...,'cubic');

 interpolatedData=F(...);

[Yazan Awwad]

Can you please give me more details. For examples, if one of the images is : A=imread('Translated frame_120 with respect to frame_1.png'); the size of A is 448 by 901. How can I apply the function u mentioned on these data. Thank you

Answer 2

[Image Analyst]

Can't you simply use imresize()?

[Yazan Awwad]

You can see some of the images here: http://www.mathworks.com/matlabcentral/answers/91114-how-can-i-perform-interpolation-between-images. I want to use interpolation to guess what would be in the dark region of the images.

[Image Analyst]

OK, imresize won't do that. Neither will griddedInterpolant. You can't guess what's there by interpolating nearby pixels over the unknown/black/dark pixels, thereby destroying whatever information they might have had, little though it might be.

[Yazan Awwad]

oh ok , what do u suggest I should do to guess whats there ??

[Image Analyst]

You need to enhance what's there, or improve your imaging method, not smear stuff from outside the region into the interior of the region. Sorry but I'm not an expert on ultrasound images. Try VisionBib for published methods.

[ANKUSH JAMTHIKAR]

Hey, Can anyone suggest how can I interpolate image using cubic spline interpolation (For any general images)?

[Walter Roberson]

scale = 1/10;
r = size(YourImage,1);
c = size(YourImage,2);
[R, C] = ndgrid(1:r, 1:c);
newrv = linspace(1, r, floor(r*scale));
newcv = linspace(1, c, floor(r*scale));
[NewR, NewC] = ndgrid(newrv, newcv);
for channel = size(YourImage,3) : -1 : 1
  newImage(:,:,channel) = interp2(R, C, YourImage(:,:,channel), NewR, NewC, 'spline');
end

newImage = cast(newImage, class(YourImage));

imshow(newImage)