关键词: 相机噪声, 小波域滤波器, 广义高斯, 反向传播（BP）神经网络, 图像真伪鉴别

Abstract: By applying the filter which is in the wavelet domain, a certain noise is extracted which can reflect the camera physical characteristic and it further serves as the key feature to detect the authenticity of digital image. The noise characteristics of suspicious region in the image are determined and aggregated by the generalized Gaussian classifier and BP neural network classifier, to detect forgeries in digital images. The experimental results show the approach provides a relative high accuracy on detecting digital images that are forged in various ways.

Key words: camera noise, wavelet domain filter, generalized Gaussian, Back Propagation（BP） neural network, authenticity of digital image detection