Truncated singular value decomposition in ripped photo recovery
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...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2021/01/itmconf_icmsa2021_04008.pdf |