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Hardware implementation of adaptive feedback based reversible image watermarking for image processing application

机译:基于自适应反馈的硬件实现用于图像处理应用的可逆图像水印

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摘要

This paper presents a reversible image watermarking (RIW) method including an adaptive feedback part based on difference expansion (DE). With respect to some parameters of the image, peak signal to noise ratio (PSNR), the highest payload capacity and the corresponding embedding threshold are spontaneously calculated by using the proposed adaptive feedback-based reversible Image watermarking (AFRIW). The payload capacity for data embedding is briefly explained. The machinery part of the adaptive feedback for controlling the payload capacity is presented. Software verification of three cover images is presented. Based on some image parameters, the comparative result between the proposed AFRIW algorithm and DE-based RIW method is presented. This paper also presents the VLSI architecture of this proposed algorithm for RIW. The proposed architecture has been implemented using VIVADO 2016.2 based on Xilinx Virtex-7 FPGA and Zynq device platforms. The software implementation results clearly demonstrated that the AFRIW method provides higher PSNR than the DE-based RIW method. The hardware implementation results indicate that the proposed algorithm has low timing complexity over other existing feedback based RIW algorithms which in turn provide higher speed.
机译:本文介绍了一种可逆图像水印(RIW)方法,包括基于差异扩展(DE)的自适应反馈部分。关于图像的一些参数,通过使用所提出的基于反馈的可逆图像水印(AFRIW)来自发地计算噪声比(PSNR),最高有效载荷容量和相应的嵌入阈值的峰值信号。简要解释了数据嵌入的有效载荷容量。介绍了控制有效载荷容量的自适应反馈的机械部分。提出了三个封面图像的软件验证。基于一些图像参数,提出了所提出的AFRIW算法与基于DE基RIW方法的比较结果。本文还介绍了这种提出的RIW算法的VLSI架构。基于Xilinx Virtex-7 FPGA和Zynq设备平台的Vivado 2016.2已经使用Vivado实现了所提出的架构。软件实现结果清楚地证明了AFRIW方法提供比基于DE的RIW方法更高的PSNR。硬件实现结果表明,所提出的算法在基于其他现有反馈的RIW算法上具有低定时复杂度,其又提供更高的速度。

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