基于离散小波变换和离散余弦变换的数字图像水印及PSNR的比较

Rakhi Dubolia, Roop Singh, S. Bhadoria, Rekha Gupta
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引用次数: 76

摘要

数字水印是一种允许个人在数字音频、视频或图像信号和文档中添加隐藏的版权声明或其他验证信息的技术。水印可以通过使用最低有效位(LSB)、奇异值分解(SVD)、离散傅立叶变换(DFT)、离散余弦变换(DCT)和离散小波变换(DWT)技术来完成。本文采用离散余弦变换(DCT)和离散小波变换(DWT)进行水印的嵌入和提取。对DWT和DCT在不同阈值下的峰值信噪比(PSNR)进行了比较。DWT比DCT具有更好的图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Image Watermarking by Using Discrete Wavelet Transform and Discrete Cosine Transform and Comparison Based on PSNR
Digital watermarking is a technique which allows an individual to add hidden copyright notices or other verification messages to digital audio, video, or image signals and documents. Watermarking can be done by using least significant bit (LSB), singular value decomposition (SVD), Discrete Fourier Transform (DFT), Discrete cosine transform (DCT) and Discrete wavelet transform (DWT) techniques. In this paper Discrete cosine transform (DCT) and Discrete wavelet transform (DWT) are used for embedding and extraction of watermark. DWT and DCT are compared with respect to peak signal to noise ratio (PSNR) at a different threshold values. DWT gives better Image quality then DCT.
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