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Resampling parameter estimation via dual-filtering based convolutional neural network

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Abstract

Resampling detection is an important problem in image forensics. Several exiting approaches have been proposed to solve it, but few of them focus on resampling parameter estimation. Especially, the estimation of downsampling scenarios is very challenging. In this paper, we propose a dual-filtering based convolutional neural network (CNN) to extract features directly from the images. First, we analyze the formulation of resampling parameter estimation and reformulate it as a multi-classification problem by regarding each resampling parameter as a distinct class. Then, we design a network structure based on the preprocessing operation to capture the specific resampling traces for classification. Two parallel filters with different highpass filters are deployed to the CNN architecture, which enlarges the resampling traces and makes it easier to achieve resampling parameter estimation. Next, concatenating the outputs of the two filters by a “concat” layer. Finally, the experimental results demonstrate our proposed method is effective and has better performance than state-of-the-art methods in resampling parameter estimation.

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Acknowledgements

This work is supported by National Natural Science Foundation of China (Grant Nos. 61972142, 61772191, 61672222), Hunan Provincial Natural Science Foundation of China (No. 2020JJ4212), Open Project Program of National Laboratory of Pattern Recognition (Grant No. 201900017).

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Authors and Affiliations

  1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China

    Lin Peng & Xin Liao

  2. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Science, Beijing, 100093, China

    Xin Liao

  3. Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, 20742, USA

    Mingliang Chen

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  1. Lin Peng
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  2. Xin Liao
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  3. Mingliang Chen
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Correspondence to Xin Liao.

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Peng, L., Liao, X. & Chen, M. Resampling parameter estimation via dual-filtering based convolutional neural network. Multimedia Systems 27, 363–370 (2021). https://doi.org/10.1007/s00530-020-00697-y

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