Truncated singular value decomposition in ripped photo recovery
نویسندگان
چکیده
Singular value decomposition (SVD) is one of the most useful matrix decompositions in linear algebra. Here, a novel application SVD recovering ripped photos was exploited. Recovery done by applying truncated iteratively. Performance evaluated using Frobenius norm. Results from few experimental were decent.
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ژورنال
عنوان ژورنال: ITM web of conferences
سال: 2021
ISSN: ['2271-2097', '2431-7578']
DOI: https://doi.org/10.1051/itmconf/20213604008