Robust Image Alignment for Tampering Detection

摘要: The widespread use of classic and newest technologies available on Internet (e.g., emails, social networks, digital repositories) has induced a growing interest systems able to protect the visual content against malicious manipulations that could be performed during their transmission. One main problems addressed in this context is authentication image received communication. This task usually by localizing regions which have been tampered. To aim aligned should first registered with one at sender exploiting information provided specific component forensic hash associated image. In paper we propose robust alignment method makes an based Bag Features paradigm. proposed signature attached before transmission then analyzed destination recover geometric transformations applied estimator voting procedure parameter space model used transformation occurred into manipulated encodes spatial distribution features deal highly textured contrasted tampering patterns. A block-wise detection exploits histograms oriented gradients representation also proposed. non-uniform quantization histogram gradient build each block for purposes. Experiments show approach obtains good margin performances respect state-of-the art methods.