Decreasing False Positive Detection of Gaussian Watermarks by Means of Fractional Calculus Principles

Fractional calculus is a promising and rich area of study as many applications to engineering are under development. As a result, many authors proposed new approaches for solving diverse problems with success. In particular, we focus on revisiting a problem in the digital watermarking field: the detection of Gaussian watermarks in the spatial domain. The novelty of this work is that we show that the use of fractional calculus principles reduces the false positive rate of a Gaussian watermarks detector whereas keeping the complexity of the system almost low. Most systems detect Gaussian watermarks using different strategies that increase the system complexity, this motivates our work which goal is to address the detection problem with a simpler approach.