Abstract
Digital watermarking is a technology that enables to protect distributed digital content from unauthorized reuse. Robust watermarks must be able to survive a range of geometrical attacks, such as image resizing, cropping, translation, rotation, scaling, smoothing, filtering, and simplification. In the current paper, we extend the existing approaches that are partially based on image invariant features by introducing new image invariant features and exclusively using them. The proposed watermarking method is based on a combination of image processing techniques, theory of geometry, multiple image invariant features, and public key encryption. Experimental results show that the use of such combination of techniques allowed for securing the embedded watermark and for success in image watermark's recovery, even if images were exposed to several geometrical attacks.
Highlights
The term watermarking loosely refers to the use of steganography in the application areas of ownership assertion, authentication, content labeling, and content protection
Steganography addresses the problem of hiding information within digital documents
A watermark should possess some desirable characteristics related to robustness, it should be resilient to standard manipulations of unintentional as well as intentional nature
Summary
The term watermarking loosely refers to the use of steganography in the application areas of ownership assertion, authentication, content labeling, and content protection. In literature invariant to a geometrical transform digital image watermarking methods, were proposed. The current research was aimed to introduce a robust watermarking scheme based on image invariant features against various geometrical attacks such as cropping, transportation, cut, resizing, rotation, and filtering.
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