Combined DWT-DCT Digital Image Watermarking
By Ali M. Al-Haj. 2007
543 citations recorded by the source corpus.
The proliferation of digitized media due to the rapid growth of networked multimedia systems, has created an urgent need for copyright enforcement technologies that can protect copyright ownership of multimedia objects. Digital image watermarking is one such technology that has been developed to protect digital images from illegal manipulations. In particular, digital image watermarking algorithms which are based on the discrete wavelet transform have been widely recognized to be more prevalent than others. This is due to the wavelets' excellent spatial localization, frequency spread, and multi-resolution characteristics, which are similar to the theoretical models of the human visual system. In this paper, we describe an imperceptible and a robust combined DWT-DCT digital image watermarking algorithm. The algorithm watermarks a given digital image using a combination of the Discrete Wavelet Transform (DWT) and the Discrete Cosine Transform (DCT). Performance evaluation results show that combining the two transforms improved the performance of the watermarking algorithms that are based solely on the DWT transform.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/1c47f281c00cffad4e30deff48a922553cb04d17
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
Citations in the corpus
- Protecting Intellectual Property of Deep Neural Networks with Watermarking (2018, methodology): “The most commonly used transforms are the Discrete Cosine Transform (DCT) [25, 44], Discrete Fourier Transform (DFT) [42, 55], Discrete Wavelet Transform (DWT) [9, 11, 31, 58] and the combination of them [6, 38, 46].”