自动化学报2017，Vol.43Issue(3)：390-397,8.DOI:10.16383/j.aas.2017.c160068
基于彩色LBP的隐蔽性复制−粘贴篡改盲鉴别算法
Covert Copy-move Forgery Detection Based on Color LBP
摘要
Abstract
Since negligence of color information in detecting copy-move forgeries leads to low accuracy in detection of in covert tampering, a novel method using color local binary patterns (CoLBP) is proposed. It involves the following three steps: first, establish color LBP texture image, which is a preprocessing of image and a combination of color information and LBP texture;second, divide into overlapping blocks and extract gray level co-occurrence matrix (GLCM) features; finally, match image blocks by the improved kd tree and split partition, remove the false matched blocks using morphological operation and then detect the resulting copy-move regions. Experimental results show that our algorithm is effective for covert tampering, and exhibits high robustness even when an image is distorted by blur, noise and JPEG recompression.关键词
图像盲鉴别/复制–粘贴篡改/彩色局部二值模式/灰度共生矩阵/kd树Key words
Image blind identification/copy-move forgery/color local binary patterns (CoLBP)/gray level co-occurrence matrix (GLCM)/kd tree引用本文复制引用
朱叶,申铉京,陈海鹏..基于彩色LBP的隐蔽性复制−粘贴篡改盲鉴别算法[J].自动化学报,2017,43(3):390-397,8.基金项目
国家青年科学基金(61305046, 61602203),吉林省自然科学基金(20140101193JC, 20150101055JC)资助Supported by the National Science Foundation for Young Scien-tists of China (61305046, 61602203) and Natural Science Foun-dation of Jilin Province (20140101193JC, 20150101055JC) （61305046, 61602203）
