Image Copy-move Forgery Detection Based on SURF
As the advent and growing popularity of image editing software, digital images can be manipulated easily without leaving obvious visual clues. If the tampered images are abused, it may lead to potential social, legal or private consequences. To this end, it’s very necessary and also challenging to find effective methods to detect digital image forgeries. In this paper, a fast method to detect image copymove forgery is proposed based on the SURF (Speed up Robust Features) descriptors, which are invariant to rotation, scaling etc. Results of experiments indicate that the proposed method is valid in detecting the image region duplication and quite robust to additive noise and blurring.
copy-move SURF image forensics
Xu Bo Wang Junwen Liu Guangjie Dai Yuewei
School of Automation Nanjing University of Science & Technology Nanjing 210094, China
国际会议
南京
英文
889-892
2010-11-01（万方平台首次上网日期，不代表论文的发表时间）