Image forgery detection: survey and future directions

KB Meena, V Tyagi - Data, Engineering and Applications: Volume 2, 2019 - Springer
In this age of digitization, digital images are used as a prominent carrier of visual
information. Images are becoming increasingly ubiquitous in everyday life. Unprecedented …

Downscaling factor estimation on pre-JPEG compressed images

X Liu, W Lu, Q Zhang, J Huang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Resampling detection is one of the most important topics in image forensics, and the most
widely used method in resampling detection is spectral analysis. Since JPEG is the most …

A random matrix approach to the forensic analysis of upscaled images

D Vázquez-Padín, F Pérez-González… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
The forensic analysis of resampling traces in upscaled images is addressed via subspace
decomposition and random matrix theory principles. In this context, we derive the asymptotic …

Camera identification from HDR images

M Darvish Morshedi Hosseini, M Goljan - Proceedings of the ACM …, 2019 - dl.acm.org
Performance of camera identification methods based on PRNU is very sensitive to geometric
operations applied to images during acquisition and processing. Handling images that have …

An ultra-fast and energy-efficient CNTFET-based image corner detection hardware for real-time image processing applications

F Behbahani, A Behrad, MH Moaiyeri - AEU-International Journal of …, 2024 - Elsevier
In image processing and machine vision, corner detection is pivotal in diverse applications,
including computer vision, 3D reconstruction, face detection, object tracking, and video …

Parameter estimation of image gamma transformation based on zero-value histogram bin locations

P Wang, F Liu, C Yang, X Luo - Signal Processing: Image Communication, 2018 - Elsevier
Gamma transformation plays an important role in image processing and image display.
However, images may look either bleached out or too dark if transformed with improper …

Hierarchical image resampling detection based on blind deconvolution

Y Su, X **, C Zhang, Y Chen - Journal of Visual Communication and …, 2017 - Elsevier
Resampling detection is a helpful tool in multimedia forensics; however, it is a challenge
task in cases with compression and noisy. In this paper, by modeling the recovery of edited …

Blind forensics of image gamma transformation and its application in splicing detection

P Wang, F Liu, C Yang, X Luo - Journal of Visual Communication and …, 2018 - Elsevier
Image forensics technology based on image manipulation detection has aroused great
interest of researchers in recent decades. By revealing the traces of image manipulations, it …

Exploring score-level and decision-level fusion of inertial and video data for intake gesture detection

H Heydarian, MTP Adam, TL Burrows, ME Rollo - IEEE Access, 2021 - ieeexplore.ieee.org
Recent research has employed deep learning to detect intake gestures from inertial sensor
and video camera data. However, the fusion of these modalities has not been attempted …

Image Edge Feature Extraction and Refining based on Genetic-Ant Colony Algorithm

X Zhang, S Liu - … (Telecommunication Computing Electronics …, 2015 - telkomnika.uad.ac.id
Edge is composed by a collection of its nearby pixels which has a step change or changes
in roof, an image is an information system and most of its information comes from the edges …