Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Robust image watermarking in the spatial domain
Signal Processing
A robust DCT-based watermarking for copyright protection
IEEE Transactions on Consumer Electronics
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Hierarchical watermarking for secure image authentication with localization
IEEE Transactions on Image Processing
Embedding image watermarks in dc components
IEEE Transactions on Circuits and Systems for Video Technology
Digital watermarking based on chaotic map and reference register
Pattern Recognition
Fidelity-guaranteed robustness enhancement of blind-detection watermarking schemes
Information Sciences: an International Journal
An optimal robust digital image watermarking based on genetic algorithms in multiwavelet domain
WSEAS Transactions on Signal Processing
A study on the digital watermarking technique for JPEG 2000
Proceedings of the 2009 International Conference on Hybrid Information Technology
Watermarking robustness evaluation based on perceptual quality via genetic algorithms
IEEE Transactions on Information Forensics and Security
Robust watermarking and compression for medical images based on genetic algorithms
Information Sciences: an International Journal
A novel clonal selection algorithm based fragile watermarking method
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Real-time color image watermarking based on D-SVD scheme
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
An extended image hashing concept: content-based fingerprinting using FJLT
EURASIP Journal on Information Security
A high throughput system for intelligent watermarking of bi-tonal images
Applied Soft Computing
Journal of Visual Communication and Image Representation
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A watermark hidden in an image is retrieved differently from the original watermark due to the frequently used rounding approach. The simple rounding will cause numerous errors in the embedded watermark especially when it is large. A novel technique based on genetic algorithms (GAs) is presented in this paper to correct the rounding errors. The fundamental is to adopt a fitness function for choosing the best chromosome which determines the conversion rule of real numbers into integers during the cosine transformation. Experimental results show that the dramatic improvement in reducing the errors is successful when GAs are used in decision making. Furthermore, we develop an initial chromosome by comparing the difference between the original image and the rounded watermarked image to speed up the process. In additional to correct fragile-watermarking rounding errors, our algorithm can also be applied in robust watermarking to achieve higher watermarked image quality.