Image resize image in matlab

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Mehwish
Mehwish 2013-6-13
Hi, I am facing a blurring issue in the below code:
I = imread('waterframe-1.png');
I=imresize(I,[16 16]);
I=rgb2ycbcr(I);
I=ycbcr2rgb(I);
I=imresize(I,[256 256]);
I=ycbcr2rgb(I);
imshow(I);
Any help in this will be very highly appreciated
Thanks Mehwish
  1 个评论
Jan
Jan 2013-6-13
You forgot to mention any dteilas about the problem. What exactly do you see and what do you expect?

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采纳的回答

Benoît THOUY
Benoît THOUY 2013-6-13
Hi,
When upsampling, you have to deal with interpolation in order to predict missing pixels. As you do not know all 256*256 pixels with only 16*16 pixels, it uses some kind of "averaging" closest pixels to compute all pixels.
imresize uses bilinear interpolation by default. You can change to bicubic interpolation to have more "sharp" edges, but it will be blurred anyway. Nearest-neighbor interpolation will give you a "block" effect so no blur but big [16 16] squares. It is up to your choice. See documentation of imresize: www.mathworks.com/help/images/ref/imresize.html
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Mehwish
Mehwish 2013-6-14
Thanks a lot. It clears up a lot of mess in my head.
Regards
Mehwish

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更多回答（3 个）

Chandra Shekhar
Chandra Shekhar 2013-6-13
编辑：Chandra Shekhar 2013-6-13
dont resize original image to [16 16] make it as it is.
follow following code to get more info
I = imread('waterframe-1.png');
I=imresize(I,[256 256]);
I=rgb2ycbcr(I);
I=ycbcr2rgb(I);
I=imresize(I,[256 256]);
I=ycbcr2rgb(I);
figure;imshow(I);
Mehwish
Mehwish 2013-6-13
Yup. I know it works. Thanks for the quick response. This is a short version of the algorithm which I am implementing. And the whole algorithm revolves around resizing the image to 16X16 and the conversion to ycbcr. So not resizing is out of question.
Mehwish
Mehwish 2013-6-13
@ Jan I see blurring of the image and I expect to resolve it with some filter maybe....

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