(1. 中南大學(xué) 有色金屬成礦預(yù)測教育部重點實驗室，長沙 410083；
2. 中南大學(xué) 地球科學(xué)與信息物理學(xué)院, 長沙 410083;
3. 湖南省國土資源廳，長沙，410007；4. 中南大學(xué) 土木工程學(xué)院，長沙 410083)
摘 要: 針對JPEG地質(zhì)資料的復(fù)制-移動篡改，提出一種結(jié)合SURF特征匹配與JPEG塊偽影特征矩陣因子的篡改區(qū)域檢測方法。首先運用SURF算法提取圖像特征點并進行特征點匹配，根據(jù)剔除偽匹配點后的匹配對計算仿射變換參數(shù)，定位復(fù)制-移動區(qū)域，然后通過引入JPEG塊偽影特征矩陣因子實現(xiàn)篡改區(qū)域的定位。結(jié)果表明：相比其他算法，本方法能夠更有效地探測JPEG地質(zhì)資料的復(fù)制-移動篡改，并精確定位篡改區(qū)域。
關(guān)鍵字: 篡改探測；復(fù)制-移動；JPEG；地質(zhì)資料
（1. Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Ministry of Education,
Central South University, Changsha 410083, China;
2. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
3. Department of Land and Resources of Hunan Province, Changsha 410007, China;
4. School of Civil Engineering, Central South University, Changsha 410083, China）
Abstract:Aiming at copy-move forgery in the JPEG geological images, a new tampered region detecting method was presented based on the speeded up robust features (SURF) matching and JPEG blocking artifact characteristics matrix (BACM) factor. Firstly, the SURF algorithm was applied to extract and match the feature points of the image, the affine transformation parameters are obtained by the matched feature points, and were used to detect the copy-move tampered regions. Then, the tampered region was located according to the JPEG BACM factor. The results show that the proposed method can detect the copy-move tampered region in JPEG geologic images more effectively, and can also locate the tampered region more precisely than the other methods, which can therefore ensure the security and accuracy of the digital geological data.
Key words: tampering detection; copy-move; JPEG; geological data
