A Comprehensive Review of Digital Image Watermarking Using Transform Function for The Feature Extraction and Optimization Algorithm for Dynamic Embedding
Parmalik Kumar, Ankit Sharma · Journal of Emerging Technologies and Innovative Research · 2016
The digital multimedia data faced a problem of privacy and copyright. The digital watermarking techniques play vital role in this era. In current decade various watermarking algorithms are proposed in different domain such as spatial domain and frequency domain. In frequency domain the process of watermarking is very robust and secure against the intentional attack. The third-party intentional attacks deformed the watermark and change the copyright of digital data. For the improvements of security strength, the feature based watermarking techniques help the reduces the correlation points of embedding of image and reduces the security risk of digital data. The transform-based function gives the texture features such as DWT, SIFT, FFT and many more transform functions. The selection of features points used optimization techniques such as genetic algorithm, particle swarm optimization and ant colony optimization. In this paper present the comprehensive review of digital watermarking algorithms based on the transform function, optimization techniques and dynamic embedding against the different types of attacks.