Genetic Algorithms and Manufacturing Systems Design
Genetic Algorithms and Manufacturing Systems Design
A Secure, Robust Watermark for Multimedia
Proceedings of the First International Workshop on Information Hiding
DCT-based watermark recovering without resorting to the uncorrupted original image
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
A hybrid watermarking technique applied to digital images
Applied Soft Computing
A numerically stable fragile watermarking scheme for authenticating 3D models
Computer-Aided Design
A new adaptive digital audio watermarking based on support vector machine
Journal of Network and Computer Applications
A Robust Adaptive Video Watermarking Algorithm Based on HVS
ICYCS '08 Proceedings of the 2008 The 9th International Conference for Young Computer Scientists
Digital Signal Processing
A new digital watermarking scheme for 3D triangular mesh models
Signal Processing
A new video watermarking algorithm based on 1D DFT and Radon transform
Signal Processing
An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems
Computers and Industrial Engineering
Handling multiple objectives with particle swarm optimization
IEEE Transactions on Evolutionary Computation
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This paper presents a new method for adaptive watermark strength optimization in Discrete Cosine Transform (DCT) domain. Watermarking is a method to embed secret information in the host medium. Optimal sub-band and strength selection for watermark is the most critical aspect in the whole process and it had attracted many researchers in the recent past. In the proposed method, DCT sub-band is selected using Genetic Algorithm (GA) and watermark strength is intelligently selected through Particle Swarm Optimization (PSO). GA performs well at exploring a vast search space and it selects the suitable sub-band for watermark embedding. Perceptual shaping of the watermark is done in such a way that watermark embedding is imperceptible to the human visual system. The proposed method shows promising results against different attacks, such as low-pass filter, high-pass filter, median filters, shifting and cropping the marked image. Further, experimental results have shown better performance of the proposed method as compared with the current approaches in practice.