how wa can discard 75% of small coefficients after get the DCT conversion of each image block?
2 次查看(过去 30 天)
显示 更早的评论
Hi, i want to do this step on one image but i don't know how i can discard 75% of smal coefficients after get the DCT, please help me .
Can i do this without using for and if?
step:
Divide the input image into smaller blocks with dimensions nXn.
Get the DCT conversion of each image block.
Discard 75% of small coefficients.
Recreate and view the image
my code:
im=imread('s1.jpg');
im = rgb2gray(im);
figure;
imshow(im)
title('Original image');
img_dct=dct2(im);
figure;
imagesc(img_dct);
colormap(gray);
im_dct=idct2(img_dct);
title('DCT Compress Image');
figure;
imagesc(im_dct);
colormap(gray);
0 个评论
回答(1 个)
Jonas
2021-5-30
编辑:Jonas
2021-5-30
use the
Y = prctile(block,75,'all')
command to get the 75% percentile, you can then set all values smaller than this threshold to 0 by
block(block<=Y)=0;
3 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Convert Image Type 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!