
In the recent years, security for multimedia data has under threat with high usage of Internet and image editing tools. In this paper, an Optimal SVD−DWT based Digital watermarking is employed to achieve copyright protection and prevent its illegal copy or reproduction. A survey on different optimization algorithms namely GA (Genetic Algorithm), PSO (Particle Swarm Optimization) and ABC (Artificial Bee Colony) is carried to obtain optimized robustness and imperceptibility of watermarking algorithm employing performance metrics such as Peak Signal to Noise Ratio(PSNR), Structural Similarity Measurement (SSIM) and Normalized Cross Correlation(NCC). The experiments are conducted with python Anaconda. Also, the computational time taken by each optimization−algorithm is measured and compared. To remove the false positive in SVD based watermarking is prevented by employing DWT-SVD based hashing for authentication.
| 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). | 6 | |
| 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% |
