关键词: copy-move篡改, 离散小波变换（DWT）, ORB方法, 特征提取, 篡改检测

Abstract: An efficient digital image tamper detection method is presented in this paper, which combines Discrete Wavelet Transform（DWT） with ORB feature extraction algorithm. It can meet the requirements of real-time feature extraction and copy-move tamper detection. Frist DWT is applied on an image to decompose it into LL, LH, HL and HH four parts. Then ORB algorithm is applied on LL part to extract the key points, binary descriptor vector—rBRIEF is constructed. Finally, to achieve the purpose of tamper detection, hamming distance is applied to match similar key points. The experimental results show that the method can effectively detect this type of tampering for images, and it shows robustness when tempered image receives translation, rotation, noise and synthesized attack. Simultaneously, the matching time and storage type are less than SIFT algorithm.

Key words: copy-move tempering, Discrete Wavelet Transform（DWT）, Oriented FAST and Rotated BRIEF（ORB）, feature extraction, tamper detection