一种空间域自适应低失真防篡改图像数字水印方案  被引量:2

A Spatial Domain Adaptive Low Distortion Tamper ProofDigital Image Watermarking Scheme

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作  者:张玉凤 谢荣生 ZHANG Yufeng;XIE Rongsheng(School of Computer&Information Engineering,Xiamen University of Technology,Xiamen 361024,China)

机构地区:[1]厦门理工学院计算机与信息工程学院,福建厦门361024

出  处:《厦门理工学院学报》2021年第5期76-82,共7页Journal of Xiamen University of Technology

基  金:福建省自然科学基金项目(2019J01856)。

摘  要:为提高嵌入水印后的图像质量,提出一种空间域自适应低失真防篡改图像数字水印方案。该方案的水印嵌入位置由混沌密钥确定,以使水印能均匀、随机嵌入到图像的各个部位;采用S-LSB算法将水印嵌入到图像像素的次低位,使其能够抵抗一些非恶意的图像水印攻击。该嵌入算法下水印图像的峰值信噪比(peak signal-to-noise ratio,PSNR)由水印长度和混沌位置密钥决定。为提高水印图像的质量,在给定水印的情况下,自适应地调整水印位置密钥,使水印图像的PSNR达到给定的要求;为降低算法的运算量,快速完成混沌位置密钥的自适应调整,进一步提出分段自适应水印算法。实验表明,该算法能够获得满足应用需求的PSNR,且对一些常用篡改操作能给出篡改率和篡改位置。To improve the imperceptibility of watermarked images,a spatial domain adaptive low distortion tamper-proof image digital watermarking scheme is proposed.The embedding position of the watermark in this scheme is determined by the chaotic key,so that the watermark can be evenly and randomly embedded in various parts of the image.The S-LSB algorithm is used to embed the watermark in the second least significant bits of the image pixels,making it resistant to some non-malicious image watermarking attacks.The peak signal-to-noise ratio(PSNR)of the watermarked image under this embedding algorithm is determined by the length of the watermark and the chaotic location key.Therefore,in order to improve the quality of the watermarked image,in the case of a given watermark,the watermark position key is adaptively adjusted,so that the PSNR of the watermarked image meets the given requirements.In order to reduce the computational complexity of the algorithm and quickly complete the adaptive adjustment of the chaotic location key,a segmented adaptive watermarking algorithm is further proposed.Experiments show that the algorithm can obtain PSNR that meets the requirements for application,and give the tampering rate and tampering location for some common tampering operations.

关 键 词:图像数字水印 低失真防篡改水印 空间域 自适应算法 混沌序列 

分 类 号:TP301.6[自动化与计算机技术—计算机系统结构]

 

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