Image denoising and contrast enhance!
显示 更早的评论
Hey,
Does anybody has an idea how to denoising this image and enhance the contrast? The random distribution stripes and the low contrast really a pain.
I knew there is a way to filtering in the frequency domain, could anyone help me out here? Thanks very much
Joanna
采纳的回答
Image Analyst
2015-3-4
Joanna, how about the guided filter?
originalImage = imread('C:\Users\Joanna\Documents\Temporary\Image01.jpg');
smoothedImage = imguidedfilter(originalImage, 'NeighborhoodSize',[19 19]);
finalImage = imadjust(smoothedImage);
imshowpair(originalImage, finalImage, 'montage');
axis on;
2 个评论
Image Analyst
2015-3-5
Joanna's "Answer" moved here since it's a reply to me and not an "Answer" to the original question:
Dear Image Analyst!
Thanks so much for your prompt answer!
The first impression of the corrected image really looks good! Is the imguidedfilter() function using the neighboring guided the smoothing to remove the high frequency noise?
And another things the corrected image looks unsharp, is that possible to add the edge preserving smoothing to filter again?
Cheers,
Joanna
Image Analyst
2015-3-5
Joanna, if you look at some of the edges you'll see that they are preserved, like the edge of the big blobs in the lower corners. If you look at the fine low contrast edges, like the faint scratches, then they are blurred/removed but the more contrasty ones are kept. There are some parameters to the guidedfilter but I haven't played around with it much.
There are other edge preserving filters such as median but even that will cause some blurring. If you want other filters, there are things like mean shift filter that tend to keep, or even sharpen, edges.
I think there may be others. I think generally the best state of the art noise reduction filter is BM3D. At least that's the one everybody compares their new algorithms to. It's rarely beaten in terms of performance.
Prior to that it seemed like the best one was "non-local means". There is MATLAB code for both of those.
更多回答（1 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Image Filtering 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
