  High dynamic range (HDR) imaging has recently drawn much attention in
multimedia community. In this paper, we proposed a HDR image forensics method
based on convolutional neural network (CNN).To our best knowledge, this is the
first time to apply deep learning method on HDR image forensics. The proposed
algorithm uses CNN to distinguish HDR images generated by multiple low dynamic
range (LDR) images from that expanded by single LDR image using inverse tone
mapping (iTM). To do this, we learn the change of statistical characteristics
extracted by the proposed CNN architectures and classify two kinds of HDR
images. Comparision results with some traditional statistical characteristics
shows efficiency of the proposed method in HDR image source identification.
