Arthit Srikaew

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In this paper, we propose digital image watermarking algorithm in the multiwavelet transform domain. The embedding technique is based on the quantization index modulation technique and this technique does not require the original image in the watermark extraction. We have developed an optimization technique using the genetic algorithms to search for optimal(More)
In this paper, we attempt to develop image watermarking algorithms which are portable to a variety of applications such as copyright protection, fingerprinting and identification. Therefore, we require that the watermark be binary and be not only detectable but also extractable. The embedding technique is based on the parent-child structure of the(More)
This paper presents the evaluation of robustness for image watermarking techniques in the multiwavelet transform domain. The first one is based on the concept of the watermarking technique that has been designed in the previous chapter and the second one is based on the code division multiple access (CDMA) technique. The embedding information is a visually(More)
In this paper, we propose a new approach for optimization in audio watermarking using artificial intelligent technique. The watermarks are embedded into the low frequency coefficients in discrete multiwavelet transform domain. The embedding technique is based on quantization process which does not require the original audio signal in the watermark(More)
In this paper a robust Hybridized Watermarking scheme based on Fast Walsh Hadamard transform (FWHT) and Singular Value Decomposition (SVD) using Genetic algorithm (GA) is presented. The host image is subjected to FWHT and SVD. The singular values of SVD of host image are modified with singular values of watermark. Multiple scaling factors are used in(More)
This paper develops a hybrid system for solving a service restoration problem in a distribution system using genetic algorithm (GA) and expert systems (ES). The main of objective in problem of finding the optimal state of a sectionalizing switch on faults occurred is to restore as many loads as possible by transferring de-energized loads via network(More)
This paper proposes a new robust digital image watermarking algorithm using genetic algorithms and neural networks in the multiwavelet domain. The embedding technique is based on the quantization index modulation and the watermark extraction process does not require the original image. We have developed an optimization technique using the genetic algorithms(More)