A comprehensive review of deep-learning-based methods for image forensics
I Castillo Camacho, K Wang - Journal of imaging, 2021 - mdpi.com
Seeing is not believing anymore. Different techniques have brought to our fingertips the
ability to modify an image. As the difficulty of using such techniques decreases, lowering the …
ability to modify an image. As the difficulty of using such techniques decreases, lowering the …
Recent advances in digital image manipulation detection techniques: A brief review
A large number of digital photos are being generated and with the help of advanced image
editing software and image altering tools, it is very easy to manipulate a digital image …
editing software and image altering tools, it is very easy to manipulate a digital image …
Robust detection of image operator chain with two-stream convolutional neural network
Many forensic techniques have recently been developed to determine whether an image
has undergone a specific manipulation operation. When multiple consecutive operations are …
has undergone a specific manipulation operation. When multiple consecutive operations are …
Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation
The digital image proves critical evidence in the fields like forensic investigation, criminal
investigation, intelligence systems, medical imaging, insurance claims, and journalism to …
investigation, intelligence systems, medical imaging, insurance claims, and journalism to …
Multi-domain cascade convolutional neural network
In one embodiment, an apparatus comprises a communication interface and a processor.
The communication interface is to communicate with a plurality of devices. The processor is …
The communication interface is to communicate with a plurality of devices. The processor is …
Task-aware quantization network for jpeg image compression
We propose to learn a deep neural network for JPEG image compression, which predicts
image-specific optimized quantization tables fully compatible with the standard JPEG …
image-specific optimized quantization tables fully compatible with the standard JPEG …
RGB no more: Minimally-decoded JPEG Vision Transformers
Most neural networks for computer vision are designed to infer using RGB images. However,
these RGB images are commonly encoded in JPEG before saving to disk; decoding them …
these RGB images are commonly encoded in JPEG before saving to disk; decoding them …
Convolution neural network based lossy compression of hyperspectral images
The large size of hyperspectral imaging poses a significant threat to its potential use in real
life due to the abundant information stored in it. The use of deep learning for such data …
life due to the abundant information stored in it. The use of deep learning for such data …
Passive image forensics using universal techniques: a review
Digital tamper detection is a substantial research area of image analysis that identifies the
manipulation in the image. This domain has matured with time and incredible accuracy in …
manipulation in the image. This domain has matured with time and incredible accuracy in …
TDFSSD: Top-down feature fusion single shot MultiBox detector
H Pan, J Jiang, G Chen - Signal Processing: Image Communication, 2020 - Elsevier
Object detection across different scales is challenging as the variances of object scales.
Thus, a novel detection network, Top-Down Feature Fusion Single Shot MultiBox Detector …
Thus, a novel detection network, Top-Down Feature Fusion Single Shot MultiBox Detector …