Robust detection of image operator chain with two-stream convolutional neural network

X Liao, K Li, X Zhu, KJR Liu - IEEE Journal of Selected Topics …, 2020 - ieeexplore.ieee.org
Many forensic techniques have recently been developed to determine whether an image
has undergone a specific manipulation operation. When multiple consecutive operations are …

Overview of image inpainting and forensic technology

K Liu, J Li, SS Hussain Bukhari - Security and Communication …, 2022 - Wiley Online Library
At present, digital image is the most significant information carrier on the Internet, which
provides convenience for people to exchange information. With the progress of image …

Fake faces identification via convolutional neural network

H Mo, B Chen, W Luo - Proceedings of the 6th ACM workshop on …, 2018 - dl.acm.org
Generative Adversarial Network (GAN) is a prominent generative model that are widely used
in various applications. Recent studies have indicated that it is possible to obtain fake face …

Optical imaging and image restoration techniques for deep ocean mapping: a comprehensive survey

Y Song, D Nakath, M She, K Köser - PFG–Journal of Photogrammetry …, 2022 - Springer
Visual systems are receiving increasing attention in underwater applications. While the
photogrammetric and computer vision literature so far has largely targeted shallow water …

A bibliography of pixel-based blind image forgery detection techniques

MA Qureshi, M Deriche - Signal Processing: Image Communication, 2015 - Elsevier
With the advent of powerful image editing tools, manipulating images and changing their
content is becoming a trivial task. Now, you can add, change or delete significant information …

Localization of diffusion-based inpainting in digital images

H Li, W Luo, J Huang - IEEE transactions on information …, 2017 - ieeexplore.ieee.org
Image inpainting, an image processing technique for restoring missing or damaged image
regions, can be utilized by forgers for removing objects in digital images. Since no obviously …

Identification of various image operations using residual-based features

H Li, W Luo, X Qiu, J Huang - … on Circuits and Systems for Video …, 2016 - ieeexplore.ieee.org
Image forensics has attracted wide attention during the past decade. However, most existing
works aim at detecting a certain operation, which means that their proposed features usually …

A full-image full-resolution end-to-end-trainable CNN framework for image forgery detection

F Marra, D Gragnaniello, L Verdoliva, G Poggi - IEEE Access, 2020 - ieeexplore.ieee.org
Due to limited computational and memory resources, current deep learning models accept
only rather small images in input, calling for preliminary image resizing. This is not a …

Contrast enhancement of brightness-distorted images by improved adaptive gamma correction

G Cao, L Huang, H Tian, X Huang, Y Wang… - Computers & Electrical …, 2018 - Elsevier
As an efficient image contrast enhancement (CE) tool, adaptive gamma correction (AGC)
was previously proposed by relating gamma parameter with cumulative distribution function …

Fighting fake news: two stream network for deepfake detection via learnable SRM

B Han, X Han, H Zhang, J Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Benefitting from the development of deep generative networks, modern fake news
generation methods called Deepfake rapidly go viral over the Internet, calling for efficient …