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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.

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

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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.

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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.

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