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 |
| _version_ | 1818910791664926720 |
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| author | Lem Kong Hoong |
| author_facet | Lem Kong Hoong |
| author_sort | Lem Kong Hoong |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T22:48:25Z |
| format | Article |
| id | doaj.art-8525626b40834d84b283768daa215acf |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-12-19T22:48:25Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-8525626b40834d84b283768daa215acf2022-12-21T20:02:54ZengEDP SciencesITM Web of Conferences2271-20972021-01-01360400810.1051/itmconf/20213604008itmconf_icmsa2021_04008Truncated singular value decomposition in ripped photo recoveryLem Kong Hoong0Faculty of Science, Universiti Tunku Abdul Rahman, Jalan University, Bandar BaratSingular 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.https://www.itm-conferences.org/articles/itmconf/pdf/2021/01/itmconf_icmsa2021_04008.pdf |
| spellingShingle | Lem Kong Hoong Truncated singular value decomposition in ripped photo recovery ITM Web of Conferences |
| title | Truncated singular value decomposition in ripped photo recovery |
| title_full | Truncated singular value decomposition in ripped photo recovery |
| title_fullStr | Truncated singular value decomposition in ripped photo recovery |
| title_full_unstemmed | Truncated singular value decomposition in ripped photo recovery |
| title_short | Truncated singular value decomposition in ripped photo recovery |
| title_sort | truncated singular value decomposition in ripped photo recovery |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2021/01/itmconf_icmsa2021_04008.pdf |
| work_keys_str_mv | AT lemkonghoong truncatedsingularvaluedecompositioninrippedphotorecovery |