吉林大学学报（理学版）2013，Vol.51Issue(4)：653-658,6.DOI:10.7694/jdxblxb20130423
基于分形维数和小波域特征的计算机生成图像检测算法
Detection of Computer Generated Images Based on Fractal Dimension and Wavelet Domain Features
摘要
Abstract
In view of the perceptual differences between photographic and computer generated images primarily existed in statistical features,an identification algorithm for photographic and computer generated images was proposed,which is based on fractal dimension and wavelet domain features.The algorithm that is based on the statistical characteristics was used to recognize the authenticity of images.In the process of our experiment,800 standard images were used as the image database,the support vector machine was used as the classifier,and the detection accuracy rate of the computer generated images could reach 96.5 ％ in the algorithm.It has significantly improved the accuracy of identifying computer generated images,and provides a guarantee of the authenticity of the digital image.关键词
自然图像/计算机生成图像/小波域/分形维数/支持向量机Key words
photographic image/ computer generated image/ wavelet domain/ fractal dimension/support vector machine分类
信息技术与安全科学引用本文复制引用
孙利,齐嘉锐,李岩波,万国富..基于分形维数和小波域特征的计算机生成图像检测算法[J].吉林大学学报（理学版）,2013,51(4):653-658,6.基金项目
吉林省自然科学基金(批准号:201215165)和符号计算与知识工程教育部重点实验室开放基金(批准号:93K172010K05). （批准号:201215165）
