This paper is concerned with the digital image watermarking techniques to protect intellectual property and to authenticate digital images. Different from the most conventional methods using the discrete cosine transforms (DCT) and discrete-wavelet transforms (DWTs), this paper exploits the improved Laplacian pyramid transform to develop a new image watermarking scheme in which the improved Laplacian pyramid transform is used to decompose and reconstruct the host image. Then, to select an appropriate watermarking solution, we investigate the various frequency sub-band regions with different the levels and strength factors to perform the watermark embedding. Finally, we conduct experiments to investigate the invisibility and robustness of the proposed algorithm in terms the peak signal-to-noise ratio (PSNR), normalized correlation (NC), and structural similarity index (SSIM). Experimental results showed that our proposed scheme offers good robustness and invisibility. As compared to the watermarking schemes using the curvelets, our watermarking scheme is more robust for the lossy JPEG compression and Gaussian low pass filtering attacks. In addition, our method is also efficient in terms of computational time.

中文翻译：

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基于拉普拉斯金字塔变换的鲁棒图像水印方案

本文关注的是数字图像水印技术，以保护知识产权和验证数字图像。与使用离散余弦变换 (DCT) 和离散小波变换 (DWT) 的最传统方法不同，本文利用改进的拉普拉斯金字塔变换开发了一种新的图像水印方案，其中改进的拉普拉斯金字塔变换用于分解和重建宿主图像。然后，为了选择合适的水印解决方案，我们研究了具有不同级别和强度因子的各种频率子带区域来执行水印嵌入。最后，我们进行了实验，从峰值信噪比 (PSNR)、归一化相关 (NC)、和结构相似性指数（SSIM）。实验结果表明，我们提出的方案具有良好的鲁棒性和不可见性。与使用曲线波的水印方案相比，我们的水印方案对于有损 JPEG 压缩和高斯低通滤波攻击更加稳健。此外，我们的方法在计算时间方面也很有效。