Rahmalan, Hidayah and Abdollah, Mohd Faizal and Mohd Kosnin, Zarita and Christy Atika Sari and Eko Hari Rachmawanto (2012) Analysis of optimization medical image watermarking using particle swarm optimization based on SLT. In: Fourth International Conference of Soft Computing and Pattern Recognition , 10-13 Dec 2012, Brunei.
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Abstract
This paper propose an optimization technique, based on Slantlet Transform (SLT) and Particle Swarm Optimization (PSO). In order to improve the quality image to achieve the imperceptibility without losing robustness, an optimal scheme for embedding the secret message derived from PSO. The propose technique takes an advantages of SLT that was better time localization as an improved version of Discrete Wavelet Transform (DWT). In additional, SLT is a piecewise linear and used two zero moment in which SLT is better signal compression better than DWT and Discrete Cosine Transform (DCT). Meanwhile, PSO as a popular optimization technique and has been successed to use as a method to balance the imperceptibility and robustness, it is because PSO serves the weighting factor inside of embedding process. As we know that there is researcher ever done using SLT and PSO in watermarking, this paper used to investigate the capability of SLT-PSO in order to achieve imperceptibility without losing robustness. The comparison of this technique is displayed in this paper to show the capability of propose technique convince to improve the performance of SLT while the experiment will be implemented using medical images.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Information and Communication Technology > Department of System and Computer Communication |
| Depositing User: | Mohd Faizal Abdollah |
| Date Deposited: | 04 Apr 2013 06:49 |
| Last Modified: | 27 Jun 2023 16:40 |
| URI: | http://eprints.utem.edu.my/id/eprint/6974 |
| Statistic Details: | View Download Statistic |
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