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