关键词: 数字图像盲取证, 图像拼接检测, 图像质量评价量, 矩特征量, 人工神经网络, 支持向量机

Abstract: To implement image splicing blind detection，this paper proposes a new splicing detection model.The model is built based on statistical moment features and some image quality metrics（IQMs） extracted from the given test image.This model can measure statistical differences between original image and spliced image.Support Vector Machine（SVM） and Artificial Neural Network（ANN） are chosen as the classifiers to train and test the given images based on the proposed model.Experimental results demonstrate that both of the two classifiers have high accuracies and this model possesses promising capability in image splicing detection.

Key words: blind image forensics, image splicing detection, Image Quality Metrics（IQMs）, moment features, Artificial Neural Network（ANN）, Support Vector Machine（SVM）