Comments (1)
Well, I wasn't aiming for industrial code quality when implementing :)
So no, there are no unit tests, no tests suits for no regression or what so ever. All I wanted is to check the algorithm given my doubts due to the lack of quality in the paper… The existence of that GUI is, on the other hand, only to help me to get things right, to easily visualize the output of every single step, the different weights, the shifts, the tiles, and so on.
You can manipulate basically all parameters that are used; that gives you a lot of power and allows you to mess things up. I spent a lot of time to ensure that it does actually work, if the parameters are right.
In short, I tested and debugged a lot, I'm certain that the individual functions do what I want them to do. But I can't ensure that what I want is correct as there's no reference implementation…
And the images I tested worked well, too.
from imagestackalignator.
Related Issues (20)
- tuning parameter k2 HOT 2
- 5 merged "New York scene" looks worse than output from Adobe Camera RAW HOT 3
- The system cannot find the file specified HOT 2
- Could you please help to check this exception? HOT 1
- Does this approach need the camera parameters? HOT 4
- Is it possible to run the code in Ubuntu? HOT 2
- The super resolution can't resize the image with a two-fold resolution HOT 5
- ManagedCuda.NPP.NPPException:“Device allocation error” HOT 3
- System.DllNotFoundException:Unable to load DLL“nppisu64_10”: HOT 2
- How to create synthetic image bursts to run Google's Handheld Multi-Frame Super-Resolution algorithm? HOT 2
- about max and min in RobustnessModell.cu HOT 1
- Do quality analysis mentioned in Google's paper with TIFF and PNG photos HOT 2
- How does the super resolution works? HOT 1
- Possibility of using .tiff images? HOT 1
- The program is crashing when opening .dng files HOT 4
- Error loading DNG files from Fuji HOT 2
- Version Update
- Loaded images do not display in GUI HOT 1
- ManagedCuda exception HOT 1
- How do you open the program HOT 5
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