2019
DOI: 10.1049/iet-ipr.2019.0266
|View full text |Cite
|
Sign up to set email alerts
|

Generative adversarial networks model for visible watermark removal

Abstract: Previously visible watermark removal algorithms required the location of known watermarks. A corresponding removal algorithm is then proposed based on the location and the feature of the watermark. If the location of the watermark is random or the watermark has different angles, the watermark removal algorithm will encounter problems. The authors recommend a visible watermark removal algorithm based on generative adversarial networks (GANs) and self‐attention mechanisms. During the training, the authors introd… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
20
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 27 publications
(20 citation statements)
references
References 12 publications
0
20
0
Order By: Relevance
“…The results of all methods on two datasets are summarized in Table 1. We reproduce the baseline results using their released code [7,19,28,32,33] or our own implementation [2,24] may notice that our reported results are different from those reported in [28], especially the result of WDNet which is much worse than that in [28]. The performance degradation is attributed to a bug 1 in their released evaluation code.…”
Section: Resultsmentioning
confidence: 91%
See 3 more Smart Citations
“…The results of all methods on two datasets are summarized in Table 1. We reproduce the baseline results using their released code [7,19,28,32,33] or our own implementation [2,24] may notice that our reported results are different from those reported in [28], especially the result of WDNet which is much worse than that in [28]. The performance degradation is attributed to a bug 1 in their released evaluation code.…”
Section: Resultsmentioning
confidence: 91%
“…However, watermarked images are likely to be converted back to watermarkfree images by virtue of modern watermark removal techniques. To evaluate and strengthen the robustness of visible watermarks in an adversarial way, watermark removal task has raised the research interest in recent years [2,4,6,9,19,24].…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Nowadays, many scholars have done many researches on how to effectively remove the visible watermark image from the watermarked image [22][23][24][25][26][27][28][29][30]. Some visible watermark removal algorithms need to know the accurate position of the visible watermark image in advance, and the corresponding removal strategy is designed by combining the features of the visible watermark image itself [22,23]. Another method to remove the watermark image is based on the traditional image inpainting method [24][25][26], and it mainly uses the surrounding information to fill the areas corresponding to the black pixels in the watermarked image.…”
Section: Introductionmentioning
confidence: 99%