Blind image counterwatermarking – hidden data filter

Abstract

Watermarking is a dynamically developing method of copyright protection used for media (sounds, images, films, or 3D objects) that employs signal processing in order to hide additional, invisible information about the owner or author. However, studies until now have not widely considered the problem of attempting to blind removal of hidden data in a manner that allows the watermarked signal to be returned to the original signal. Current considerations of authors of leading articles in the watemarking field focus on the robustness of the method -security system against intentional attacks of removal of the additional information, without taking into account the aspect of simultaneous degradation of the quality and form of the watermarked picture. As has been shown in the article, it is possible to design a perfect filter (same as reversible operations) that allows the removal of additional information from the watermarked picture in a way that makes it possible to return to the form of the host image. This paper describes an ideal filter used for removal of additional, invisible information in forms of an eliminating function and a signal masking function. Their effectiveness has been demonstrated for practical implementations of this type of eliminating and masking filters for watermarking methods in the cepstrum domain.

High-Quality Video Watermarking Based on Deep Neural Networks and Adjustable Subsquares Properties Algorithm

“…In the literature, there are many publications on embedding a watermark in a static image using the classical methods [ 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 ]. These methods use the whole image or some of its regions, constituting the areas of interest.…”

Enhancing Web Application Security: Advanced Biometric Voice Verification for Two-Factor Authentication

“…The two-factor login method described in this article using a voice biometrics system is implemented in the novel PicWATermark system for user verification and authentication. This is implemented, among other things, by means of voice biometrics but also by means of a marking method using a watermark as an identifier contained in the digital material [1,2]. In addition, the module will have in-built copyright protection mechanisms for the creators of the digital material, e.g., to identify the digital images taken.…”