Image Forensics
33 papers with code • 0 benchmarks • 3 datasets
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Latest papers
Unsupervised JPEG Domain Adaptation for Practical Digital Image Forensics
Domain adaptation is a major issue for doing practical forensics.
Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet
The problem of distinguishing natural images from photo-realistic computer-generated ones either addresses natural images versus computer graphics or natural images versus GAN images, at a time.
Towards Flexible Blind JPEG Artifacts Removal
Training a single deep blind model to handle different quality factors for JPEG image artifacts removal has been attracting considerable attention due to its convenience for practical usage.
Analysis of Benford’s Law for No-Reference Quality Assessment of Natural, Screen-Content, and Synthetic Images
This paper presents in-depth analysis of Benford’s law inspired first digit distribution feature vectors for no-reference quality assessment of natural, screen-content, and synthetic images in various viewpoints.
BioFors: A Large Biomedical Image Forensics Dataset
Our results and analysis show that existing algorithms developed on common computer vision datasets are not robust when applied to biomedical images, validating that more research is required to address the unique challenges of biomedical image forensics.
DIPPAS: A Deep Image Prior PRNU Anonymization Scheme
A typical trace exploited for source device identification is the Photo Response Non-Uniformity (PRNU), a noise pattern left by the device on the acquired images.
Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture
The method is based on a Convolutional Neural Network (CNN) that is trained to solve the estimation as a standard regression problem.
Dissecting Image Crops
The elementary operation of cropping underpins nearly every computer vision system, ranging from data augmentation and translation invariance to computational photography and representation learning.
A Survey of Machine Learning Techniques in Adversarial Image Forensics
Image forensic plays a crucial role in both criminal investigations (e. g., dissemination of fake images to spread racial hate or false narratives about specific ethnicity groups) and civil litigation (e. g., defamation).
A Multi-Modal Method for Satire Detection using Textual and Visual Cues
Satire is a form of humorous critique, but it is sometimes misinterpreted by readers as legitimate news, which can lead to harmful consequences.