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首页> 外文期刊>International Journal of Image, Graphics and Signal Processing >Least Significant Bit and Discrete Wavelet Transform Algorithm Realization for Image Steganography Employing FPGA
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Least Significant Bit and Discrete Wavelet Transform Algorithm Realization for Image Steganography Employing FPGA

机译:FPGA的图像隐写的最低有效位离散小波变换算法实现。

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摘要

Steganography is the science that deals with conveying secret information by embedding into the cover object invisibly. In steganography, only the authorized party is aware of the existence of the hidden message to achieve secret communication. The image file is mostly used cover medium amongst various digital files such as image, text, audio and video. The proposed idea of this research work is to develop the robust image steganography. It is implemented using Least Significant Bit and Discrete Wavelet Transform techniques for digital image signal to improve the robustness & evaluate the performance of these algorithms. The parameters such as mean square error (MSE), bit error rate (BER), peak signal to noise ratio (PSNR) and processing time are considered here to evaluate the performance of the proposed work. In the proposed system, PSNR and MSE value ranges from 42 to 46 dB and 1.5 to 3.5 for LSB method respectively. For DWT method these results are further improved as it gives higher PSNR values between 49 to 57 dB and lower MSE values 0.2 to 0.7.
机译:隐写术是一门通过不可见地嵌入封面对象来传达秘密信息的科学。在隐秘术中,只有授权方知道隐藏消息的存在,以实现秘密通信。在各种数字文件(例如图像,文本,音频和视频)中,图像文件通常被用作封面媒体。这项研究工作的提议思想是开发鲁棒的图像隐写术。它使用最低有效位和离散小波变换技术来实现数字图像信号,以提高鲁棒性并评估这些算法的性能。此处考虑诸如均方误差(MSE),误码率(BER),峰值信噪比(PSNR)和处理时间等参数,以评估所提出工作的性能。在建议的系统中,对于LSB方法,PSNR和MSE值的范围分别为42至46 dB和1.5至3.5。对于DWT方法,由于提供了49至57 dB之间的较高PSNR值和0.2至0.7之间的较低MSE值,因此进一步改善了这些结果。

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