Lem Kong HoongL.E. TeohW.S. Ng2024-10-222024-10-222021https://doi.org/10.1051/itmconf/20213604008https://dspace-cris.utar.edu.my/handle/123456789/4108<jats:p>Singular value decomposition (SVD) is one of the most useful matrix decompositions in linear algebra. Here, a novel application of SVD in recovering ripped photos was exploited. Recovery was done by applying truncated SVD iteratively. Performance was evaluated using the Frobenius norm. Results from a few experimental photos were decent.</jats:p>journal-article