You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Algorithm could get some more data after blind deconvolution by user input. I.e. if one has a blurred image of a screenshot and deblurs it (with a lot of additional moire), now he has a chance to tell that some area has the same color, or that some area doesn't have a strong gradient in it. The idea is quite straightforward, so there should be an article on it somewhere.
(If you're not interested in searching for possibly non-existing article or implementing such algorithm, please, leave this feature request opened in case someone likes to try it and make a pull request.)
The text was updated successfully, but these errors were encountered:
Algorithm could get some more data after blind deconvolution by user input. I.e. if one has a blurred image of a screenshot and deblurs it (with a lot of additional moire), now he has a chance to tell that some area has the same color, or that some area doesn't have a strong gradient in it. The idea is quite straightforward, so there should be an article on it somewhere.
(If you're not interested in searching for possibly non-existing article or implementing such algorithm, please, leave this feature request opened in case someone likes to try it and make a pull request.)
The text was updated successfully, but these errors were encountered: