Primary quantization matrix estimation of double compressed JPEG images via CNN
Available model-based techniques for the estimation of the primary quantization matrix in double-compressed JPEG images work only under specific conditions regarding the relationship between the first and second compression quality factors, and the alignment of the first and second JPEG compression grids. In this paper, we propose a single CNN-based estimation technique that can work under a very general range of settings. We do so, by adapting a dense CNN network to the problem at hand. Particular attention is paid to the choice of the loss function. Experimental results highlight several advantages of the new method, including: i) capability of working under very general conditions, ii) improved performance in terms of MSE and accuracy especially in the non-aligned case, iii) better spatial resolution due to the ability of providing good results also on small image patches.
Code (1)
Tasks
QuantizationSimilar Papers 제목 키워드 기반
Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture
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 about the past history of an image. In add…
Image ForensicsQuantizationregressionImage Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering
Detection of inconsistencies of double JPEG artefacts across different image regions is often used to detect local image manipulations, like image splicing, and to localize them. In this paper, we move one step further, …
ClusteringQuantizationComputational data analysis for first quantization estimation on JPEG double compressed images
Multimedia Forensics experts work consists in providing answers about integrity of a specific media content and from where it comes from. Exploitation of any traces from JPEG double compressed images is often one of the …
QuantizationCNN-based first quantization estimation of double compressed JPEG images
Multiple JPEG compressions leave artifacts in digital images: residual traces that could be exploited in forensics investigations to recover information about the device employed for acquisition or image editing software…
QuantizationIn-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation
The exploitation of traces in JPEG double compressed images is of utter importance for investigations. Properly exploiting such insights, First Quantization Estimation (FQE) could be performed in order to obtain source c…
BIG-bench Machine LearningQuantization