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FPGA Design of Real-Time Watermarking Processor for 2DDWT-Based Video Compression

机译:基于2DDWT的视频压缩实时水印处理器的FPGA设计

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This paper proposed a new watermarking algorithm and implementation in hardware, by which the watermarking process and an image compression process can operate in conjunction, in parallel, and/or without degrading the performance of the compression process. The goal of the proposed watermarking scheme is to provide the bases to insist the ownership and to authenticate integrity of the watermark-embedded image by detecting the errors and their positions without the original image (blind watermarking). Our watermarking scheme is to replace the watermark with one or several bit-plane(s) of the DC subband after 2DDWT (2-Dimensional Discrete Wavelet Transform) decomposition which is the basic transformation in DWT-based image compression such as JPEG2000. If more than one bit-plane is involved, the position to embed each watermark bit is randomly selected among the bit-planes by a random number generated with an LFSR (Linear Feedback Shift Register). Experimental results showed that for all the considered attacks except the high compression by JPEG, the error ratios in the extracted watermarks by our algorithm were below 3% and the extracted watermarks were unambiguously recognizable in all the cases. The hardware (FPGA)-implemented result could operate stably in 82 MHz clock frequency. This hardware was merged to DWT-based image compression codec which runs in a real-time in 66 MHz of clock frequency. This resulted in the real-time operation for codec and watermarking together in 66 MHz of clock frequency. The watermarking scheme used 4,037 LABs (24%) of the hardware resource of APEX20KC EP20K400CF672-7 from Altera.
机译:本文提出了一种新的水印算法和硬件实现,通过该算法,水印过程和图像压缩过程可以协同,并行和/或在不降低压缩过程性能的情况下运行。提出的水印方案的目的是提供基础,以通过检测没有原始图像的错误及其位置(盲水印)来坚持所有权并验证嵌入水印的图像的完整性。我们的水印方案是将2DDWT(二维离散小波变换)分解后的DC子带的一个或多个位平面替换为水印,这是基于DWT的图像压缩(如JPEG2000)的基本转换。如果涉及多个位平面,则通过由LFSR(线性反馈移位寄存器)生成的随机数在位平面中随机选择嵌入每个水印位的位置。实验结果表明,对于所有考虑的攻击,除了通过JPEG进行的高压缩率之外,我们算法提取的水印中的错误率均低于3%,并且在所有情况下均清晰地识别出提取的水印。硬件(FPGA)实现的结果可以在82 MHz时钟频率下稳定运行。该硬件已合并到基于DWT的图像压缩编解码器,该解码器可在66 MHz的时钟频率下实时运行。这样就可以在66 MHz的时钟频率下对编解码器和水印进行实时操作。水印方案使用了来自Altera的APEX20KC EP20K400CF672-7的4,037 LAB(24%)硬件资源。

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