数据与计算发展前沿2023，Vol.5Issue(6)：67-80,14.DOI:10.11871/jfdc.issn.2096-742X.2023.06.007
基于多尺度前馈融合结构的重采样因子估计算法
A Estimation Algorithm of Resampling Factor Based on Multi-Level Feedforward Fusion Structure
摘要
Abstract
[Objective]Resampling is an important measure to cover the traces of image tampering.In order to accurately detect resampling scaling parameters and verify the authenticity of image information,this paper proposes a resampling factor estimation algorithm based on the multi-scale feed-forward fusion structure.[Methods]In the preprocessing layer,the residual charac-teristics of the resampled image are obtained by using two linear high-pass filters,the impact of image content is suppressed,the correlation between pixels in the region is enlarged,and then the gradient characteristics of pixels are strengthened in different directions by using four low-order high-pass filters.The main structure of the algorithm is a convolutional neural network,and multi-scale resampling classification traces are extracted at different levels of the network,comcombined with the attention mechanism.The Multiscale Residual Fusion Module(MRFM)is formed to compen-sate for the loss of resampled information during convolution,achieve effective transmission of the calibration characteristic information,and remove information redundancy to accelerate network convergence.[Results]Ex-periments show that the network gain of the proposed algorithm is determined by the pretreatment layer and the multi-scale residual fusion module,and the accuracy is significantly higher than that of other algorithms in com-parison,especially under the condition of strong noise interference of strong.The proposed algorithm is of obvi-ous advantages.关键词
重采样因子估计/高通滤波器/卷积神经网络/多尺度残差融合Key words
resampling factor estimation/high-pass filter/convolution neural network/multi-scale residual fusion引用本文复制引用
郭静,张玉金,江智呈,孙冉..基于多尺度前馈融合结构的重采样因子估计算法[J].数据与计算发展前沿,2023,5(6):67-80,14.基金项目
上海市自然科学基金(17ZR1411900) （17ZR1411900）
上海市科委重点项目(18511101600) （18511101600）
上海高校青年教师培养资助计划项目(ZZGCD15090) （ZZGCD15090）
上海市信息安全综合管理技术研究重点实验室项目(AGK2015006) （AGK2015006）
