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METEOR: Measurable Energy Map Toward the Estimation of Resampling Rate via a Convolutional Neural Network

https://doi.org/10.1109/tcsvt.2019.2963715
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471221325openalex-snapshot
Digital Image Processing
inferredcites →https://doi.org/10.1007/3-540-36415-3_22openalex-snapshot
Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines
inferredcites →https://doi.org/10.1007/978-3-642-24178-9_5openalex-snapshot
”Break Our Steganographic System”: The Ins and Outs of Organizing BOSS
inferredcites →https://doi.org/10.1016/1049-9660(92)90019-yopenalex-snapshot
Digital image processing (2nd ed.)
inferredcites →https://doi.org/10.1016/b978-012077790-7/50030-8openalex-snapshot
Image Interpolation and Resampling
inferredcites →https://doi.org/10.1016/b978-012373904-9.50037-4openalex-snapshot
Image Interpolation and Resampling
inferredcites →https://doi.org/10.1016/j.cose.2015.09.003openalex-snapshot
Detecting seam carving based image resizing using local binary patterns
inferredcites →https://doi.org/10.1016/j.jvcir.2017.07.006openalex-snapshot
Detecting image seam carving with low scaling ratio using multi-scale spatial and spectral entropies
inferredcites →https://doi.org/10.1016/j.jvcir.2017.11.009openalex-snapshot
An efficient weak sharpening detection method for image forensics
inferredcites →https://doi.org/10.1016/j.patcog.2016.12.010openalex-snapshot
An approach to detecting JPEG down-recompression and seam carving forgery under recompression anti-forensics
inferredcites →https://doi.org/10.1016/j.patrec.2013.09.026openalex-snapshot
A patch analysis method to detect seam carved images
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1038/scientificamerican0608-66openalex-snapshot
Digital Image Forensics
inferredcites →https://doi.org/10.1109/access.2013.2260814openalex-snapshot
Information Forensics: An Overview of the First Decade
inferredcites →https://doi.org/10.1109/cisp.2010.5646732openalex-snapshot
Resampling forgery detection in JPEG-compressed images
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvprw.2017.235openalex-snapshot
Detection and Localization of Image Forgeries Using Resampling Features and Deep Learning
inferredcites →https://doi.org/10.1109/iccv.2015.170openalex-snapshot
Bilinear CNN Models for Fine-Grained Visual Recognition
inferredcites →https://doi.org/10.1109/icip.2011.6115848openalex-snapshot
Detection of non-aligned double JPEG compression with estimation of primary compression parameters
inferredcites →https://doi.org/10.1109/icme.2006.262783openalex-snapshot
On Resampling Detection and its Application to Detect Image Tampering
inferredcites →https://doi.org/10.1109/icpr.2018.8545647openalex-snapshot
Global Contrast Enhancement Detection via Deep Multi-Path Network
inferredcites →https://doi.org/10.1109/lsp.2011.2164791openalex-snapshot
Unsharp Masking Sharpening Detection via Overshoot Artifacts Analysis
inferredcites →https://doi.org/10.1109/lsp.2014.2359033openalex-snapshot
Edge Perpendicular Binary Coding for USM Sharpening Detection
inferredcites →https://doi.org/10.1109/msp.2008.931078openalex-snapshot
Digital image forensics
inferredcites →https://doi.org/10.1109/tcsvt.2019.2893353openalex-snapshot
Downscaling Factor Estimation on Pre-JPEG Compressed Images
inferredcites →https://doi.org/10.1109/tifs.2007.916010openalex-snapshot
Digital image forensics via intrinsic fingerprints
inferredcites →https://doi.org/10.1109/tifs.2014.2300937openalex-snapshot
Contrast Enhancement-Based Forensics in Digital Images
inferredcites →https://doi.org/10.1109/tifs.2014.2359368openalex-snapshot
An Effective Method for Detecting Double JPEG Compression With the Same Quantization Matrix
inferredcites →https://doi.org/10.1109/tifs.2014.2381872openalex-snapshot
Segmentation-Based Image Copy-Move Forgery Detection Scheme
inferredcites →https://doi.org/10.1109/tifs.2015.2464776openalex-snapshot
Tamper Detection of JPEG Image Due to Seam Modifications
inferredcites →https://doi.org/10.1109/tifs.2017.2699638openalex-snapshot
A Random Matrix Approach to the Forensic Analysis of Upscaled Images
inferredcites →https://doi.org/10.1109/tifs.2018.2825953openalex-snapshot
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection
inferredcites →https://doi.org/10.1109/tmm.2012.2191946openalex-snapshot
Normalized Energy Density-Based Forensic Detection of Resampled Images
inferredcites →https://doi.org/10.1109/tsmc.2018.2789460openalex-snapshot
Detecting Seam-Carved Image by Extreme Learning Machines Using Patch Analysis Method, Jury Voting, and Combinatorial Fusion
inferredcites →https://doi.org/10.1109/tsp.2004.839896openalex-snapshot
How realistic is photorealistic?
inferredcites →https://doi.org/10.1109/tsp.2004.839896(410)openalex-snapshot
How realistic is photorealistic
inferredcites →https://doi.org/10.1109/tsp.2004.839932openalex-snapshot
Exposing digital forgeries by detecting traces of resampling
inferredcites →https://doi.org/10.1109/tsp.2004.839932(410)openalex-snapshot
Exposing digital forgeries by detecting traces of resampling
inferredcites →https://doi.org/10.1117/12.759155openalex-snapshot
Estimation of primary quantization matrix for steganalysis of double-compressed JPEG images
inferredcites →https://doi.org/10.1137/0717021openalex-snapshot
Monotone Piecewise Cubic Interpolation
inferredcites →https://doi.org/10.1137/0722023openalex-snapshot
Monotone Piecewise Bicubic Interpolation
inferredcites →https://doi.org/10.1145/1411328.1411333openalex-snapshot
Fast and reliable resampling detection by spectral analysis of fixed linear predictor residue
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1145/2560365openalex-snapshot
Improved Approaches with Calibrated Neighboring Joint Density to Steganalysis and Seam-Carved Forgery Detection in JPEG Images
inferredcites →https://doi.org/10.1145/2713168.2713194openalex-snapshot
RAISE
inferredcites →https://doi.org/10.1145/2909827.2930786openalex-snapshot
A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1155/2013/496701openalex-snapshot
An Overview on Image Forensics
inferredcites →https://doi.org/10.2352/issn.2470-1173.2018.07.mwsf-213openalex-snapshot
Deep Learning for Detecting Processing History of Images
inferredcites →https://doi.org/10.48550/arxiv.1811.12231openalex-snapshot
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Feature Compensation Network Based on Non-Uniform Quantization of Channels for Digital Image Manipulation Forensics
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Interstellar Intelligence: A Survey of AI-Powered Real-Time Detection of Astronomical Events
inferred← citeshttps://doi.org/10.1007/s11042-020-09947-7openalex-snapshot
Iterative spatial domain 2-D signal decomposition for effectual image up-scaling
inferred← citeshttps://doi.org/10.1007/s11042-023-17950-xopenalex-snapshot
A review of image features extraction techniques and their applications in image forensic
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110734openalex-snapshot
An ensemble learning approach for resampling forgery detection using Markov process
inferred← citeshttps://doi.org/10.1016/j.image.2020.115956openalex-snapshot
Thresholding binary coding for image forensics of weak sharpening
inferred← citeshttps://doi.org/10.1016/j.image.2022.116692openalex-snapshot
CGNet: Detecting computer-generated images based on transfer learning with attention module
inferred← citeshttps://doi.org/10.1016/j.image.2022.116795openalex-snapshot
Feature compensation network based on non-uniform quantization of channels for digital image global manipulation forensics
inferred← citeshttps://doi.org/10.1016/j.ins.2021.04.042openalex-snapshot
Feature pyramid network for diffusion-based image inpainting detection
inferred← citeshttps://doi.org/10.1016/j.sigpro.2025.110282openalex-snapshot
Statistical modeling and likelihood ratio testing for resampling detection in TIFF images
inferred← citeshttps://doi.org/10.1109/jbhi.2023.3318604openalex-snapshot
C2BNet: A Deep Learning Architecture With Coupled Composite Backbone for Parasitic Egg Detection in Microscopic Images
inferred← citeshttps://doi.org/10.1109/jiot.2023.3297834openalex-snapshot
A Low-Latency Edge Computation Offloading Scheme for Trust Evaluation in Finance-Level Artificial Intelligence of Things
inferred← citeshttps://doi.org/10.1109/mce.2020.3047606openalex-snapshot
Deep-Learning-Empowered Digital Forensics for Edge Consumer Electronics in 5G HetNets
inferred← citeshttps://doi.org/10.1109/mmsp55362.2022.9949127openalex-snapshot
CNN-based image small-angle rotation angle estimation
inferred← citeshttps://doi.org/10.1109/tcss.2022.3222682openalex-snapshot
A Privacy-Preserving Social Computing Framework for Health Management Using Federated Learning
inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3097351openalex-snapshot
Detection of Double JPEG Compression With the Same Quantization Matrix via Convergence Analysis
inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3123477openalex-snapshot
Quantization Step Estimation for JPEG Image Forensics
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3269742openalex-snapshot
FakePoI: A Large-Scale Fake Person of Interest Video Detection Benchmark and a Strong Baseline
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3571767openalex-snapshot
Let Images Speak More: An Efficient Method for Detecting Image Manipulation History
inferred← citeshttps://doi.org/10.1109/tcyb.2022.3210294openalex-snapshot
ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN
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Securing Facial Bioinformation by Eliminating Adversarial Perturbations
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Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training
inferred← citeshttps://doi.org/10.1109/tmm.2021.3098422openalex-snapshot
Anti-Forensics for Face Swapping Videos via Adversarial Training
inferred← citeshttps://doi.org/10.1109/tnse.2022.3190765openalex-snapshot
DeformableGAN: Generating Medical Images With Improved Integrity for Healthcare Cyber Physical Systems
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Multi‐scale learning for fine‐grained traffic flow‐based travel time estimation prediction
inferred← citeshttps://doi.org/10.1142/s0218126623500330openalex-snapshot
Forensics Analysis of Resampling via ConvNeXt Block
inferred← citeshttps://doi.org/10.1142/s021812662350055xopenalex-snapshot
Text Coverless Information Hiding Based on the Combination of Chinese Character Components
inferred← citeshttps://doi.org/10.1142/s0218126624300034openalex-snapshot
SharpenNet: Detecting Anti-Forensics USM Sharpening Adversarial Examples Based on ConvNeXt
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Monitoring Rubbish on Roads in Real Time by Deep Neural Network
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Generating Higher-Quality Anti-Forensics DeepFakes with Adversarial Sharpening Mask
inferred← citeshttps://doi.org/10.1155/2023/8723991openalex-snapshot
Reversible Data Hiding in Encrypted Image via Joint Encoding of Multiple MSB and Pixel Difference
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Detecting anti-forensic deepfakes with identity-aware multi-branch networks
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A hybrid deep learning framework for SEM-based air pollutant analysis: Mamba integration and GAN-augmented training
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YOLO-Submarine Cable: An Improved YOLO-V3 Network for Object Detection on Submarine Cable Images
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Resampling-Detection-Network-Based Robust Image Watermarking against Scaling and Cutting
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