Screen-Cam Robust and Blind Watermarking for Tile Satellite Images
To achieve watermark synchronization from an image with perspective distortion is a challenge. This paper proposes a screen-cam robust and blind watermarking scheme for tile satellite images, which means we do not need any user interaction or additional information in watermark detection. To achieve...
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doaj-dbbde80846bc47de85fdc299e95ad2392021-03-30T02:19:17ZengIEEEIEEE Access2169-35362020-01-01812527412529410.1109/ACCESS.2020.30076899136707Screen-Cam Robust and Blind Watermarking for Tile Satellite ImagesWeitong Chen0https://orcid.org/0000-0003-3619-5236Changqing Zhu1https://orcid.org/0000-0003-0813-2297Na Ren2https://orcid.org/0000-0002-1113-6494Tapio Seppanen3https://orcid.org/0000-0002-3963-0750Anja Keskinarkaus4Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing, ChinaKey Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing, ChinaKey Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing, ChinaCenter for Machine Vision and Signal Analysis, Physiological Signal Analysis Team, University of Oulu, Oulu, FinlandCenter for Machine Vision and Signal Analysis, Physiological Signal Analysis Team, University of Oulu, Oulu, FinlandTo achieve watermark synchronization from an image with perspective distortion is a challenge. This paper proposes a screen-cam robust and blind watermarking scheme for tile satellite images, which means we do not need any user interaction or additional information in watermark detection. To achieve this, at the watermark embedding side, we divide tiles into synchronization tiles and message tiles, and propose a discrete Fourier transform (DFT) based embedding method to cope with the quality degradation caused by screen-cam process. At the extraction side, based on the idea of template matching, we first use a synchronization response index to estimate an appropriate scale level and positions of embedded synchronization watermarks from the noise component, which is estimated by Wiener filter. Then, we propose verification, selection, and precise locations methods to ensure the effectiveness and accuracy of synchronization detection results. After that, we can extract the regions of message tiles. Finally, we extract watermark message based on the local max value from the DFT domain of the noise component. Experimental results demonstrate the validity of the proposed scheme against common attacks and screen-cam attack with a tripod as well as handhold shooting.https://ieeexplore.ieee.org/document/9136707/Screen-cam processrobust watermarktile satellite imagesblind detectionsynchronization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Weitong Chen Changqing Zhu Na Ren Tapio Seppanen Anja Keskinarkaus |
spellingShingle |
Weitong Chen Changqing Zhu Na Ren Tapio Seppanen Anja Keskinarkaus Screen-Cam Robust and Blind Watermarking for Tile Satellite Images IEEE Access Screen-cam process robust watermark tile satellite images blind detection synchronization |
author_facet |
Weitong Chen Changqing Zhu Na Ren Tapio Seppanen Anja Keskinarkaus |
author_sort |
Weitong Chen |
title |
Screen-Cam Robust and Blind Watermarking for Tile Satellite Images |
title_short |
Screen-Cam Robust and Blind Watermarking for Tile Satellite Images |
title_full |
Screen-Cam Robust and Blind Watermarking for Tile Satellite Images |
title_fullStr |
Screen-Cam Robust and Blind Watermarking for Tile Satellite Images |
title_full_unstemmed |
Screen-Cam Robust and Blind Watermarking for Tile Satellite Images |
title_sort |
screen-cam robust and blind watermarking for tile satellite images |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
To achieve watermark synchronization from an image with perspective distortion is a challenge. This paper proposes a screen-cam robust and blind watermarking scheme for tile satellite images, which means we do not need any user interaction or additional information in watermark detection. To achieve this, at the watermark embedding side, we divide tiles into synchronization tiles and message tiles, and propose a discrete Fourier transform (DFT) based embedding method to cope with the quality degradation caused by screen-cam process. At the extraction side, based on the idea of template matching, we first use a synchronization response index to estimate an appropriate scale level and positions of embedded synchronization watermarks from the noise component, which is estimated by Wiener filter. Then, we propose verification, selection, and precise locations methods to ensure the effectiveness and accuracy of synchronization detection results. After that, we can extract the regions of message tiles. Finally, we extract watermark message based on the local max value from the DFT domain of the noise component. Experimental results demonstrate the validity of the proposed scheme against common attacks and screen-cam attack with a tripod as well as handhold shooting. |
topic |
Screen-cam process robust watermark tile satellite images blind detection synchronization |
url |
https://ieeexplore.ieee.org/document/9136707/ |
work_keys_str_mv |
AT weitongchen screencamrobustandblindwatermarkingfortilesatelliteimages AT changqingzhu screencamrobustandblindwatermarkingfortilesatelliteimages AT naren screencamrobustandblindwatermarkingfortilesatelliteimages AT tapioseppanen screencamrobustandblindwatermarkingfortilesatelliteimages AT anjakeskinarkaus screencamrobustandblindwatermarkingfortilesatelliteimages |
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1724185463687741440 |