
Abstract In today’s technologically-wise advanced environment, it is very significant for the entrepreneurs and business people to secure or protect the digital content. Their digital content can be protected legally using the copyright information such as copyrights embedded into the data. Bio-inspired computing algorithms will help find the optimal scale factor(s) by developing an appropriate fitness function and parameter selection. This article proposes a novel robust and blind watermarking method for digital images using a dragonfly optimizer. This article provides a solution for a false-positive problem using third party protection code. The proposed watermarking system outperforms the competing methods both on efficiency and efficacy measures such as experimental time, Bit Error Rate, Peak Signal to Noise Ratio, Normalized Correlation in the standard databases (Signal and Image Processing Institute (SIPI), Break Our Watermarking System (BOWS)) and also found to be robust to various image processing attacks.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
