A multi-branch convolutional neural network for detecting double JPEG compression

Understand

Detection of double JPEG compression is important to forensics analysis.

• A few methods were proposed based on convolutional neural networks (CNNs).
• These methods only accept inputs from pre-processed data, such as histogram features and/or decompressed images.
• In this paper, we present a CNN solution by using raw DCT (discrete cosine transformation) coefficients from JPEG images as input.