Blind Image Watermarking Scheme in DWT-SVD Domain
IIH-MSP '07 Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 02
A Robust Geometrical Attack Resistant Digital Image Watermarking Based On FastICA Algorithm
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 5 - Volume 05
Image Watermarking Scheme Using Singular Value Decomposition and Micro-genetic Algorithm
IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
A blind watermarking method using maximum wavelet coefficient quantization
Expert Systems with Applications: An International Journal
Image copyright protection with forward error correction
Expert Systems with Applications: An International Journal
Robust blind watermarking of point-sampled geometry
IEEE Transactions on Information Forensics and Security
A new adjustable blind watermarking based on GA and SVD
IIT'09 Proceedings of the 6th international conference on Innovations in information technology
A blind watermarking scheme using new nontensor product wavelet filter banks
IEEE Transactions on Image Processing
Robust blind watermarking scheme using wave atoms
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
Robust digital image watermarking using singular value decomposition
ISSPIT '10 Proceedings of the The 10th IEEE International Symposium on Signal Processing and Information Technology
An Efficient Watermarking Method Based on Significant Difference of Wavelet Coefficient Quantization
IEEE Transactions on Multimedia
Copyright Protection for E-Government Document Images
IEEE MultiMedia
Hi-index | 0.00 |
An efficient blind copyright protection for e-government document images is proposed through a combination of the discrete cosine transform (DCT) and the singular value decomposition (SVD) based on genetic algorithm (GA). This combination could lead the watermarked image to be resistant to various attacks as well as to improve its performance, security and robustness. DCT, in this case, is applied to the entire image and mapped by a zigzag manner to four areas from the lowest to the highest frequencies. SVD, meanwhile, is applied in each area and then the singular value of DCT-transformed host image, subsequently, is modified in each area with the quantizing value using GA to increase the visual quality and the robustness. The host image is not needed in the watermark extraction and it is more useful than non-blind one in real-world applications. Experiment results demonstrate that the proposed method outperforms other existing methods under several types of attacks.