A resilient Digital Watermarking Approach for Digital Images using Probabilistic Neural System

The Digital data and information can be distributed more easily due to the rapid expansion in the use of individual computers, the internet, and digital multimedia technologies. The accessibility of a widespread assortment of image processing tools, however, makes it easier for such data to be used improperly. Digital data can be easily copied, deleted, or modified by unauthorized users or attackers. The prevalence of unauthorized alteration and replication of digital data prompts the development of new methods for safeguarding the IPR of digital information. Watermarking has emerged as a key technique for achieving authentication and copyright protection. All the spatial and frequency domains of host data may incorporate a digital watermark. The present article presents a hybridized technique that syndicates discrete wavelet transformation and singular value decomposition.