Google shows how easy it is for software to remove watermarks from photos

Google shows how easy it is for software to remove watermarks from photos

7 years ago
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https://www.theverge.com/2017/8/18/16162108/google-research-algorithm-watermark-removal-photo-protection

Google’s research division today detailed just how easy it is for computer algorithms to bypass standard photo watermarking practices, stripping those images of copyright protection and making them vulnerable to reposting across the internet without credit. The research, presented at a leading computer vision conference in Hawaii back in July, is described in detail in a paper titled, “On the Effectiveness of Visible Watermarks.”

“As often done with vulnerabilities discovered in operating systems, applications or protocols, we want to disclose this vulnerability and propose solutions in order to help the photography and stock image communities adapt and better protect its copyrighted content and creations,” Tali Dekel and Michael Rubinstein, Google research scientists, explain in a post published on Google’s research blog earlier today.

Google shows how easy it is for software to remove watermarks from photos

Aug 18, 2017, 10:11pm UTC
https://www.theverge.com/2017/8/18/16162108/google-research-algorithm-watermark-removal-photo-protection >Google’s research division today detailed just how easy it is for computer algorithms to bypass standard photo watermarking practices, stripping those images of copyright protection and making them vulnerable to reposting across the internet without credit. The research, presented at a leading computer vision conference in Hawaii back in July, is described in detail in a paper titled, “On the Effectiveness of Visible Watermarks.” >“As often done with vulnerabilities discovered in operating systems, applications or protocols, we want to disclose this vulnerability and propose solutions in order to help the photography and stock image communities adapt and better protect its copyrighted content and creations,” Tali Dekel and Michael Rubinstein, Google research scientists, explain in a post published on Google’s research blog earlier today.