StarMarker—a fast and robust RGB-based saturation watermarking system for pan-sharpened IKONOS and QuickBird imagery

Chang, Chien-Ping; Lee, Yuh-Chi; Chang, Ann‐Chen; Huang, Ping; Tu, Te-Ming

doi:10.1117/1.2202932

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…Commonly, a stable watermark synchronization definitely ensures the watermarking algorithm robustness against image cropping attack. So far this mechanism has been implemented in different ways, such as geometric reference points [ 6 ], auxiliary location information [ 10 , 34 ], mapping method [ 35 ], etc.…”

Section: Methodsmentioning

confidence: 99%

“…It appears obvious that a well-designed watermarking algorithm will reduce the attack influence on the remaining parts to a minimal level. Because watermark synchronization has different types of implementations [ 6 , 10 , 34 , 35 ], Principle 3 represents the ideal situation that all the watermark containing in the remaining part could be successfully extracted.…”

Section: Methodsmentioning

confidence: 99%

“…However, security issues inhibit the convenience of remote sensing image sharing and transmission [ 4 ], especially in the big data era [ 5 ]. Robust watermarking technology has become a promising solution, which could be a viable form of protection regarding issues such as user tracking, forgery prevention and many other illegal uses [ 6 , 7 , 8 , 9 , 10 , 11 ]. The major property of these watermarking algorithms, named robustness, represents the resistance towards different types of attack [ 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

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A Computational Model of Watermark Algorithmic Robustness Capable of Resisting Image Cropping for Remote Sensing Images

Tong

Ren

Shi

et al. 2018

Sensors

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Various watermarking algorithms have been studied to better enable the copyright protection of remote sensing images. The robustness of such algorithms against image cropping attacks has subsequently been verified mainly by various experiments. However, to date, the experimental results are subject to the differences in experimental factors and computational resource costs. Hence, the study presented in this paper proposes a robustness computation model of watermarking remote sensing images in terms of the image cropping attack. The robustness computation model consists of three parts: analysis principles, an evaluation index, and a computation method. The robustness analysis principles are provided based on the salient features of watermarking remote sensing images and attacking properties. A probability-based evaluation index is then defined to more comprehensively measure the robustness of different algorithms. The computation method developed in this study is based on permutations and the inclusion-exclusion principle to theoretically calculate robustness. The experiments conducted to verify the effectiveness of the computation model, revealed true closeness between both the calculated and experimental results. Finally, the relationships between the robustness and the different parameters used in the watermarking algorithms are investigated by using the proposed computation model.

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Section: Methodsmentioning

confidence: 99%