Two iterative methods for reverse image filtering
Signal, Image and Video Processing, ISSN: 1863-1711, Vol: 15, Issue: 7, Page: 1565-1573
2021
- 6Citations
- 5Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
We consider the problem of recovering an original image x from its filtered version y= f(x) , assuming that the internal structure of the filter f(·) is unknown to us (i.e., we can only query the filter as a black-box and, for example, cannot invert it). We present two new iterative methods to attack the problem, analyze, and evaluate them on various smoothing and edge-preserving image filters.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85104072418&origin=inward; http://dx.doi.org/10.1007/s11760-021-01889-3; https://link.springer.com/10.1007/s11760-021-01889-3; https://link.springer.com/content/pdf/10.1007/s11760-021-01889-3.pdf; https://link.springer.com/article/10.1007/s11760-021-01889-3/fulltext.html; https://dx.doi.org/10.1007/s11760-021-01889-3; https://link.springer.com/article/10.1007/s11760-021-01889-3
Springer Science and Business Media LLC
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