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2017-04-03 11:57:31 -0600 | commented answer | Result of CLAHE is different on 8 and 16 bit Hi Everybody, Could someone tell me what causes the "living/moving" grids on the next 16 bit image? http://i.imgur.com/SlCZAcb.gif (~17MB) I use the next parametrization: ClipLimit is fix: 400.0 TileGridSize is various: (1,1) -> (2,2) -> (3,3) -> ... -> (56,56) -> (57,57) BR, Peter |
2017-03-22 03:18:48 -0600 | commented answer | Result of CLAHE is different on 8 and 16 bit Hi @Tetragramm, I have just updated the links of images only. |
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2016-10-24 05:39:41 -0600 | answered a question | CLAHE on 16bit images? Hi, Please check out this link: Result of CLAHE is different on 8 and 16 bit grayscale image. |
2016-10-24 05:39:12 -0600 | answered a question | OpenCV 3.0 CLAHE with 16bit images Hi, Please check out this link: Result of CLAHE is different on 8 and 16 bit grayscale image. |
2016-10-24 05:35:54 -0600 | answered a question | Does clahe work on 16uc1 image?I tried myself but got unexpected result.Plz suggest me the way that we can use the Clahe on 16bit(3channel/1channel) image..Thanx Hi, Please check out this link: Result of CLAHE is different on 8 and 16 bit grayscale image. |
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2016-10-24 03:01:09 -0600 | commented answer | Result of CLAHE is different on 8 and 16 bit Thanks for your reply and help. :) And yes, i think too that CLAHE via OpenCL requires some modification. |
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2016-10-23 09:57:47 -0600 | answered a question | Result of CLAHE is different on 8 and 16 bit Hi Tetragramm, Thanks for your reply. I did your suggestions, code modifications, and it seems to work. I uploaded the results too, the scenario is already the same: applying CLAHE algorithm on the original 16 bit image. After executing, normalize CLAHE's result to 8 bit [0, 255] and convert to 8 bit (CV_8UC1):
The modified CLAHE's result is more better and smoother, especially if parameter of clip limit and grid size are set "right". Parameterization is a good question because of comparison of image 2. and 3. If i decrease the parameter of tiles grid size, no grids appeared on result image but the center of image (part of lung) is less contrasty. I think it is a good change, fix about CLAHE executing on 16 bit grayscale images (CV_16UC1). Will you commit this modification to clahe.cpp? If you would like, i can send sample *.raw 16 bit images with little framework which handle this format for you to further experiment. What do you think? If OK, please give me an e-mail address to contact with you. And now i have a question about this modification of clahe.cpp, according you: Why this modification is needed? Are you sure these are all the needed modifications? |
2016-10-23 07:45:16 -0600 | received badge | ● Enthusiast |
2016-10-21 09:14:15 -0600 | asked a question | Result of CLAHE is different on 8 and 16 bit Hi, I have got a remark, problem with CLAHE algorithm on applying 8 bit and 16 bit grayscale image. I use opencv-master build. So if i applying CLAHE algorithm on 8 bit grayscale image (CV_8UC1), the result was very good. But unfortunately i have to work with 16 bit grayscale images (CV_16UC1). If i normalized and converted the source 16 bit grayscale image to 8 bit and after that executed CLAHE, the result was beautiful, you can see it in this picture: 2. If i executed CLAHE on the source 16 bit grayscale image, and after it normalized and converted to 8 bit, the result was very weird. Little grids appeared on the image and it was very unnatural, you can see it in this picture: 3. I tried to different parametrization on CLAHE, but the point was the same. I attached different pictures of my problem:
I have got some questions too:
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