利用DCT和DWT水印技术增强图像安全性

Hilkiya Joseph, Bindhu K. Rajan
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引用次数: 3

摘要

互联网技术的成功改变了技术世界,使我们的生活变得更加轻松。重复和未经授权使用信息的问题成为技术领域的一大威胁。为了解决这些问题,引入了数字水印、隐写术和密码学等技术。将与数字信号相关联的秘密数据嵌入信号本身的方法就是数字水印。水印的嵌入和检测采用了不同的技术;空域技术如最小有效位(LSB)和Patch Work算法,然后频域技术如离散余弦变换(DCT),离散小波变换(DWT)和离散傅立叶变换(DFT)是其中的一些。本文提出了DCT和DWT相结合的数字水印技术。提出的方法在MATLAB 2017a模拟器中实现,并使用峰值信噪比(PSNR)和均方误差(MSE)等评估参数对结果进行分析。采用DWT进行水印的情况下,得到的PSNR值为27.46,MSE值为17.45。DCT水印的PSNR为41.4,MSE为0.67。利用LSB技术进行水印得到的PSNR和MSE分别为50.55和0.58。该方法提高了水印图像的质量,得到的MSE和PSNR分别为0.52和51.017。
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Image Security Enhancement using DCT & DWT Watermarking Technique
The success of internet technology transform the world of technology and fashioned our life such a lot easier. The matter of duplication and unauthorized use of information become a great threat within the field of technology. To beat these problems, techniques like digital watermarking, steganography and cryptography were introduced. The approach of embedding a secret data associated with the digital signal inside the signal itself is digital watermarking. For embedding and detecting the watermark different techniques are used; spatial domain techniques like Least Significant Bit (LSB) and Patch Work Algorithm, then the frequency domain techniques such as Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Discrete Fourier Transform (DFT) are some of them. Combination of DCT & DWT technique for digital watermarking is proposed here. The proposed methodology is implemented in MATLAB 2017a simulator and result is analysed using evaluation parameters like Peak Signal to Noise Ratio (PSNR) & Mean Square Error (MSE). PSNR value obtained for the case of watermarking using DWT is 27.46 and MSE value is 17.45. The value of PSNR for watermarking using DCT is 41.4 and for MSE the value is 0.67. The PSNR and MSE values obtained for watermarking using LSB technique is 50.55 and 0.58. The proposed method improves the watermarked image quality and the MSE & PSNR value obtained is 0.52 and 51.017 respectively.
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