计算机科学与探索2018，Vol.12Issue(4)：629-641,13.DOI:10.3778/j.issn.1673-9418.1708006
利用边缘检测与Zernike矩的半脆弱图像水印算法
Semi-Fragile Image Watermarking Algorithm by Using Edge Detection and Zernike Invariant Moments
摘要
Abstract
In order to make the image watermarking algorithm have authentication function, this paper proposes a semi-fragile image watermarking authentication algorithm based on Sobel edge detection and Zernike invariant mo-ments.The normalized carrier image is third-level decomposed based on discrete wavelet transform(DWT)to get 10 sub-bands LL3,HL3,LH3,HH3,HH2,HL2,LH2,HL1,LH1,HH1.Then the sub-band LL3is processed by using the Sobel operator and Zernike moments.And the watermark embedding mechanism is designed to embed the watermark information into DWT coefficients of sub-band LL3for forming the initial watermark image.And the Sobel operator is used again to detect the initial watermark image for obtaining the edge map to determine the embedded position, so that the final watermark image is got by embedding the watermark information into Zernike moment of edge map. Meanwhile,the watermark restoration method is established to extract the complete watermark information.Finally, the watermark authentication method is designed based on weighted Euclidean distance to determine the authenticity of the watermark information.The experimental results show that this algorithm has higher robust and lower tamper rate.关键词
半脆弱图像水印/水印认证/Sobel边缘检测/Zernike不变矩/离散小波变换(DWT)/权重欧式距离Key words
semi-fragile image watermarking/watermark authentication/Sobel edge detection/Zernike invariant moments/disceret wavelet transform(DWT)/weighted Euclidean distance分类
信息技术与安全科学引用本文复制引用
王胜,解辉,张福泉..利用边缘检测与Zernike矩的半脆弱图像水印算法[J].计算机科学与探索,2018,12(4):629-641,13.基金项目
The Doctoral Scientific Fund Project of the Ministry of Education of China under Grant No.20121101110037(国家教育部博士点基金项目) （国家教育部博士点基金项目）
the National Science and Technology Supporting Plan of China under Grant No.2012BAH38F01-05(国家科技支撑计划项目) （国家科技支撑计划项目）
the Key Project of Natural Science Foundation of Anhui Province under Grant Nos.KJ2016A120,KJ2016A122(安徽省重点自然科学项目) （安徽省重点自然科学项目）
the Major Project of Natural Science Foundation of Anhui Province under Grant No.KJ2017ZD51(安徽省重大自然科学项目). （安徽省重大自然科学项目）
