DETECTION OF DIGITAL DOCTORING IN EXEMPLAR-BASED INPAINTED IMAGES
Exemplar-based inpainting technique can be used to remove objects from an image and play visual tricks, which would affect the authenticity of images. In this paper, a blind detection method based on zero-connectivity feature and fuzzy membership is proposed to detect the specific doctoring. Firstly, zero-connectivity labeling is applied on block pairs to yield matching degree feature for all blocks in the region of suspicious, and fuzzy memberships are computed by constructing ascending semi-trapczoid membership function. Then the tampered regions are identified by a cut set. A num of natural and inpainted forged images are used to show the effectiveness of our method in detecting digital doctoring.
Digital doctoring Ezemplar-based inpainting Zero-connectivity labeling Fuzzy membership
QIONG WU SHAO-JIE SUN WEI ZHU GUO-HUI LI DAN TU
College of Information System and Management, National University of Defense Technology, Changsha 410073, China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
1222-1226
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）