22 citations · 22 across the 4 of their papers we have counts for
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cs.CV2021
Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image
Xinghong Qin, Shunquan Tan, Bin Li +2
Nowadays a steganography has to face challenges of both feature based staganalysis and convolutional neural network (CNN) based steganalysis. In this paper, we present a novel steg…
cs.CV2020
Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture
Benedetta Tondi, Andrea Costranzo, Dequ Huang +1
Estimating the primary quantization matrix of double JPEG compressed images is a problem of relevant importance in image forensics since it allows to infer important information ab…
cs.CV2017★ 22 cited
A multi-branch convolutional neural network for detecting double JPEG compression
Bin Li, Hu Luo, Haoxin Zhang +2
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…