Please check the source file for the implementation codes and the pdf for details on the algorithm implemented.
-
Notifications
You must be signed in to change notification settings - Fork 0
This project revisits the image restoration issue. The idea is that minimizing the l1 norm of the discrete gradient of a damaged image yields an output that is barely noticeable from the original non-degraded form. The inpainting problem was formulated to limit the high fidelity of known observations and minimize the overall norm of variability.
opeajibuwa/inpainting-of-image-pixels-using-l1-norm-minimization
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This project revisits the image restoration issue. The idea is that minimizing the l1 norm of the discrete gradient of a damaged image yields an output that is barely noticeable from the original non-degraded form. The inpainting problem was formulated to limit the high fidelity of known observations and minimize the overall norm of variability.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published