计算机技术与发展2016，Vol.26Issue(4)：11-15,5.DOI:10.3969/j.issn.1673-629X.2016.04.003
基于混合特征提取的图像来源鉴别算法
Image Source Identification Algorithm Based on Mixed Feature Extraction
摘要
Abstract
With the popularity of digital images,blind image forensics has become one of the hotspots nowadays. The main research con-tent of blind image forensics is how to identify the image source. Feature extraction is a prerequisite to identify the image. By studying the existing feature extraction methods,aiming at the problem that the single feature extraction may not fully reflect the image characteristics to lead to the recognition error,the concept of mixed feature extraction is proposed,extraction of the features of color,texture and statistics to improve the recognition rate for image source. The algorithm proposed in this paper is validated through the experiment. The results show that the mixed feature extraction algorithm proposed can achieve better image source identification rate compared with any single feature extraction algorithm.关键词
图像盲取证/单一特征提取/混合特征提取/图像来源鉴别率Key words
blind image forensics/single feature extraction/mixed feature extraction/image source identification rate分类
信息技术与安全科学引用本文复制引用
黄曜,许华虎,欧阳杰臣,高珏..基于混合特征提取的图像来源鉴别算法[J].计算机技术与发展,2016,26(4):11-15,5.基金项目
国家重大科技专项课题(2009ZX04001-111) （2009ZX04001-111）
