基于改进的遗传算法和SVM的图像DCT变换域水印技术

doi:10.16652/j.issn.1004-373x.2016.20.019

CORC > 北京大学 > 软件与微电子学院

	基于改进的遗传算法和SVM的图像DCT变换域水印技术; Image DCT domain watermarking technology based on improved genetic algorithm and SVM
	李小璐 ; 周晓谊 ; 曹春杰
刊名	现代电子技术
	2016
关键词	支持向量机图像下采样离散余弦变换图像水印 support vector machine image down-sampling discrete cosine transform image watermarking
DOI	10.16652/j.issn.1004-373x.2016.20.019
英文摘要	由于一些不可避免的因素，现有的数字图像水印技术或多或少的存在各种缺陷，在图像采样、水印嵌入、图像合成、水印提取等各个环节都存在值得商榷的地方。采用支持向量机（SVM）模型，通过对大量不同纹理与亮度块的训练，使得图像块通过SVM得出相应的类别，从而实现水印强度的可变嵌入，并且，通过保留个别最佳个体进一步改进遗传算法，同时改变采样方式，在图像分块的DCT域中嵌入水印。实验证明，该方法使得嵌入水印图像与原始图像有较高的PSNR值，同时对JPEG、高斯噪声、旋转、低通滤波、直方图均衡化等具有较好的抗攻击能力。; The existing watermarking technology for digital image has defects more or less due to some unavoidable reasons. There are some issues in various links,such as image sampling,watermark embedding and extracting,image synthesis,etc. SVM model is used in this paper for classifying corresponding categories by training a large number of image patches with differ?ent textures and brightness to realize variable intensity watermark embedding. Moreover,the genetic algorithm is improved fur?ther by retaining the some best individuals. Meanwhile,sampling modes are reformed to embed image watermarking in the DCT domain. The experiment results show that the method makes the image with embedded watermark has a higher PSNR value,and has preferable anti?attack ability against JPEG,Gaussian noise,rotation,low?pass filtering and histogram equalization.; 海南省自然科学基金(20156217)；国家自然科学基金(61462023)；2015年度留学人员科技活动项目择优资助项目; 中文核心期刊要目总览(PKU); 中国科技核心期刊(ISTIC); 20; 72-77; 39
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/484392]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	李小璐,周晓谊,曹春杰. 基于改进的遗传算法和SVM的图像DCT变换域水印技术, Image DCT domain watermarking technology based on improved genetic algorithm and SVM[J]. 现代电子技术,2016.
APA	李小璐,周晓谊,&曹春杰.(2016).基于改进的遗传算法和SVM的图像DCT变换域水印技术.现代电子技术.
MLA	李小璐,et al."基于改进的遗传算法和SVM的图像DCT变换域水印技术".现代电子技术 (2016).