基于SVR的嵌入强度自适应的图像水印算法  

SVR-based Image Watermarking Algorithm with Adaptive Embedding Intensity

作　　者：徐康健 龚泓宁 李灿 佟德宇 XU Kang-jian;GONG Hong-ning;LI Can;TONG De-yu(College of Information Engineering,Nanjing University of Finance and Economics,Nanjing 210023,China)

机构地区：[1]南京财经大学信息工程学院,江苏南京210023

出　　处：《计算机与现代化》2023年第3期38-42,共5页Computer and Modernization

基　　金：大学生创新创业训练计划项目(202010327002Z);江苏省自然科学基金资助项目(BK20200839)。

摘　　要：如何优化水印嵌入强度是数字水印研究中的关键问题,并与水印的鲁棒性和不可感知性密切相关。本文针对图像数据,基于SVR模型提出一种嵌入强度自适应的水印算法。在图像特征方面,本文选取图像的LBP算子和小波变换的低频系数,根据SSIM指标确定合适的水印嵌入强度,生成训练样本数据集并对SVR模型进行训练;在水印嵌入过程中,首先对水印进行加密等预处理,然后对图像子块进行DWT变换,运用训练好的SVR模型确定水印嵌入强度并嵌入水印,同理可根据密钥和SVR模型进行水印的提取。实验结果表明,本文提出的算法在保证图像质量和水印不可见性的前提下,能够对图像进行自适应地水印嵌入和提取,同时对噪声、压缩、剪切等攻击均具有较好的鲁棒性。Watermark embedding intensity is a key issue in data watermarking research and closely related to the robustness and imperceptibility of watermarking.This paper proposes a watermarking algorithm of adaptive embedding intensity based on SVR model for image data.In terms of image features,the LBP operator of the image and the low frequency coefficients of the wavelet transform are selected.The appropriate watermark embedding intensity is determined according to the SSIM index.Hence,the training dataset is generated and the SVR model is trained.In the process of watermark embedding,the watermark is encrypted first,then the DCT transform is applied to the image sub-blocks and the trained SVR model is used in watermark embedding to adjust the embedding intensity.Similarly,the extraction of the watermark can be performed in an inverse procedure based on the key and SVR model.The experimental results show that the proposed watermarking algorithm can perform adaptive watermark embedding and extraction on images while ensuring the image quality and watermark invisibility,and also has good robustness to adding noise,compression,image clipping and other types of attack.

关 键 词：SVR 水印嵌入强度 LBP算子 小波变换 ARNOLD变换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]