ABSTRACT
In real life, the most common image tampering has three main sources: forensic images, photojournalism, and network image. Forensic range of digital images can be doctored very strict definition, until the thought of a pixel changes also belong to tampering. However, considering the limitations of layout constraints and network storage space on network, news photos and images making the same stringent requirements are inappropriate. In other words, the definition of tampering applications depends on the image and image editing of the appropriate agency requirements; there is no uniform standard. Common news agency allows the operator to adjust the size of photographic images and the appropriate brightness adjusts the image; the picture image on the network is mostly assessed through down-sampling and low-quality JPEG compression to save storage space. Dierent applications of digital image tampering detection method also propose different requirements; robust detection method needs to take into account the reasonable operation of the image. That the image has been tampered with reasonable operation is still able to detect tampering. We consider the down-sampling and low-quality JPEG compression and reasonable suitable brightness adjustment operation, image fusion using the method proposed to compensate the loss of information caused by reasonable operation to ensure the stability of the algorithm.
