| Issue |
ITM Web Conf.
Volume 36, 2021
The 16th IMT-GT International Conference on Mathematics, Statistics and their Applications (ICMSA 2020)
|
|
|---|---|---|
| Article Number | 04008 | |
| Number of page(s) | 6 | |
| Section | Operations Research/Applied Mathematics | |
| DOI | https://doi.org/10.1051/itmconf/20213604008 | |
| Published online | 26 January 2021 | |
Truncated singular value decomposition in ripped photo recovery
Faculty of Science, Universiti Tunku Abdul Rahman, Jalan University, Bandar Barat, 31900 Kampar, Perak, Malaysia
* Corresponding author: lemkh@utar.edu.my
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.
© The Authors, published by EDP Sciences, 2021
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