期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2016
卷号：5
期号：2
页码：15821-15828
DOI：10.18535/ijecs/v5i2.27
出版社：IJECS
摘要：Watermark is embedded by modifying the third level mid frequency coefficients of the host image with multiple SFs. As manycombinations of SFs are possible, it is difficult to obtain optimal solutions by trial and error method. Hence, in order to achievethe highest possible transparency and robustness, optimization of the scaling factors is necessary. This task employs GeneticAlgorithm (GA) to obtain optimum SFs. GA can search for multiple solutions simultaneously over a wide range, and an optimumsolution can be gained by combining the obtained results appropriately. The aim of the task is to develop an optimal watermarkingtechnique based on DWT domain for grey-scale images. In this paper, a robust and oblivious image watermarking algorithm usingmaximum wavelet coefficient modulation is proposed. Simulation results show that performance of the proposed method issuperior in terms of Peak Signal to Noise Ratio (PSNR) and Normalized Correlation Coefficient (NCC).
