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Enhancing the Optimal Robust Watermarking Algorithm to High Payload

机译:增强高鲁棒性的最佳鲁棒水印算法

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摘要

Digital watermarking is a robust method that allows a person to attach hidden data into the digital audio, video, or image signals and documents. In this paper, we propose a watermarking technique where initially, the watermark is embedded into the HL and LH frequency coefficients in multi-wavelet transform domain after searching the optimal locations in order to improve both quality of watermarked image and robustness of the watermark. Here, the payload along with robustness is improved using Genetic Algorithm (GA) and multi-bit embedding procedure. The experimentation is carried using the different images and the performance of the technique is analyzed using the Perceptual Quality-Dependent Parameter (PSNR) and NC. The proposed technique is evaluated using various compression standards and filtering techniques which yielded good results by having high PSNR and NC values showing the robustness and fidelity of the technique. The technique has achieved a peak PSNR of 38.14 and NC of 0.998. The technique is also compared to previous technique and results show that our proposed technique have performed better. Furthermore, payload analysis is carried out to infer that our proposed technique uses only half the payload when compared to previous technique.
机译:数字水印是一种强大的方法,它使人们可以将隐藏的数据附加到数字音频,视频或图像信号和文档中。在本文中,我们提出了一种水印技术,该技术首先在搜索最佳位置后将水印嵌入到多小波变换域的HL和LH频率系数中,以提高水印图像的质量和水印的鲁棒性。在这里,使用遗传算法(GA)和多位嵌入程序可以提高有效负载和鲁棒性。使用不同的图像进行实验,并使用感知质量相关参数(PSNR)和NC分析技术的性能。使用各种压缩标准和滤波技术对提出的技术进行了评估,这些技术通过具有高PSNR和NC值来显示该技术的鲁棒性和保真度,从而产生了良好的效果。该技术的峰值PSNR为38.14,NC为0.998。将该技术与以前的技术进行了比较,结果表明我们提出的技术表现更好。此外,进行了有效负载分析,以推断我们提出的技术与以前的技术相比仅使用了一半的有效负载。

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