Using Artificial Jellyfish Algorithm with Transformation Technique for Secure Video Watermarking Embedding Process
Kommisetti Murthy Raju, M. Venkata Subbarao · 2022
Digital watermarking is seen as a potential technology for addressing a broad class of challenges in a digital era. In addition to copyright protection, other potential applications of digital watermarking include content authentication, distribution tracing, and tamper recovery. Nowadays, the majority of data are transferred in the form of digital photos or videos, which are relatively easy for infringements of exclusive rights to fake and then share for profit. As a result, digital watermarking emerged as a potential way to mention these infringements on exclusive rights. In this paper, we proposed the efficient and secure watermarking technique by using the Discrete Wavelet Transforms (DWT) technique and Singular Value Decomposition (SVD), these are used for decomposition and swapping of original images. To enhance the DWT and SVD performance, the co-coefficients are optimally selected by using an Artificial Jellyfish Search Algorithm (AJS). In the embedding process, initially, the original videos are divided into several video frames, and then applied the proposed method process to the embedded watermarking process. The proposed model performs the encryption process by using the Elliptic-Curve Cryptography (ECC) technique. The main two themes as first swapped the text images with an original image and also embedded the greyscale image with a swapped image. The watermarked image is compressed by using H.265 video encoding algorithm to reduce the size of the video, which is most helpful for transmission