@article{abbasi2012robust,
  title = {Robust Image Watermarking Using Genetic Programming},
  author = {Almas Abbasi and Woo Chaw Seng},
  year = 2012,
  url = {https://ibimapublishing.com/articles/JSSD/2012/881411/},
  journal = {Journal of Software and Systems Development},
  volume = (2012),
  pages = 9,
  doi = 10.5171/2012.881411,
  abstract = {The utilization, sharing and distribution of digital data have been increasing with the wide adoption of internet. This resulted difficulty in protection of copyright and ownership of digital data. Digital watermarking has been proposed as a solution for digital data authentication and copyright protection. We present a genetic programming based watermarking technique for images. Genetic programming is used to structure the watermark by taking into account human visual system characteristics such as luminance sensitivity and contrast masking. A watermark consists of a pseudorandom real number sequence is embedded into perceptually significant blocks of vertical and horizontal sub bands in the wavelet domain. Then, correlation method is applied in watermark detection. Experimental results confirmed that our technique is robust against image processing attack, noise attack, geometric attack and cascading attack.  Benchmarking results show that the proposed technique is more robust and more imperceptible compared with other genetic perceptual model-based techniques.},
  keywords = {Genetic Programming, Wavelet Domain, Digital Watermarking, Human Visual System},
  note = Article ID: 881411
}