Camera-Shooting Resilient Watermarking on Image Instance Level

Capturing displayed images using portable cameras has become familiar among multimedia pirates, necessitating the urgent requirement of camera-shooting resilient watermarking schemes. In this paper, we consider the stealers who only record parts of images, and propose a robust watermarking scheme at...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2024-11, Vol.34 (11), p.10874-10887
Main Authors: He, Mingjin, Feng, Bingwen, Guo, Yizhi, Weng, Jian, Lu, Wei
Format: Article
Language:English
Subjects:
camera-shooting attack
Cameras
Coding
Distortion
Embedding
Encoding
Image coding
image instance
Modules
Multimedia
Noise
resynchronization
Robust watermarking
Robustness
Spread spectrum
template
Watermarking
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Summary:Capturing displayed images using portable cameras has become familiar among multimedia pirates, necessitating the urgent requirement of camera-shooting resilient watermarking schemes. In this paper, we consider the stealers who only record parts of images, and propose a robust watermarking scheme at the image instance level. This scheme consists of an encoding end, a noise layer, and a decoding end. The encoding end first selects specific watermarking regions associated with segmented image instances. Afterwards, an encoder is employed to embed watermark sequences into the RGB color model of these watermarking regions. At last, templates are embedded to product the final watermarked images. Specifically, our suggested template-based resynchronization comprises a template embedding module at the encoding end and a geometric correction module at the decoding end. The former embeds templates by a correlation-aware multiplicative spread spectrum with an adaptive amplitude, while the latter learns a calibrator to estimate the perspective projection. Experiments on both simulation and real-world scenarios support that the proposed scheme effectively resists camera-shooting attacks with various shooting conditions, regardless of whether the entire displayed images have been captured.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2024.3411816