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Source camera identification is still a hard task in forensics community,especially for the case of the small query image size. In this paper, wepropose a solution to identify the source camera of the small-size images:content-adaptive fusion network. In order to learn better featurerepresentation from the input data, content-adaptive convolutional neuralnetworks(CA-CNN) are constructed. We add a convolutional layer in preprocessingstage. Moreover, with the purpose of capturing more comprehensive information,we parallel three CA-CNNs: CA3-CNN, CA5-CNN, CA7-CNN to get thecontent-adaptive fusion network. The difference of three CA-CNNs lies in theconvolutional kernel size of pre-processing layer. The experimental resultsshow that the proposed method is practicable and satisfactory.

Source Camera Identification Based On Content-Adaptive Fusion Network