opeajibuwa / inpainting-of-image-pixels-using-l1-norm-minimization

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.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Inpainting-of-Image-Pixels-using-L1-Norm-Minimization

Please check the source file for the implementation codes and the pdf for details on the algorithm implemented.

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.


Languages

Language:Python 100.0%