A detailed analysis of image and video forgery detection techniques
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A detailed analysis of image and video forgery detection techniques
Authors
Keywords
-
Journal
VISUAL COMPUTER
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-01-13
DOI
10.1007/s00371-021-02347-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Clustered redundant keypoint elimination method for image mosaicing using a new Gaussian-weighted blending algorithm
- (2021) Zahra Hossein-Nejad et al. VISUAL COMPUTER
- Taylor-rider-based deep convolutional neural network for image forgery detection in 3D lighting environment
- (2021) V. Vinolin et al. Data Technologies and Applications
- A Review on Near-Duplicate Detection of Images using Computer Vision Techniques
- (2020) K. K. Thyagharajan et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- PRNU-based detection of facial retouching
- (2020) Christian Rathgeb et al. IET Biometrics
- Weber local descriptor for image analysis and recognition: a survey
- (2020) Arnab Banerjee et al. VISUAL COMPUTER
- Deferred neural rendering
- (2019) Justus Thies et al. ACM TRANSACTIONS ON GRAPHICS
- Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries
- (2019) Jawadul H. Bappy et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Image Segmentation Using Computational Intelligence Techniques: Review
- (2018) Siddharth Singh Chouhan et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Image Splicing Localization using a Multi-task Fully Convolutional Network (MFCN)
- (2018) Ronald Salloum et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Image Forgery Localization via Integrating Tampering Possibility Maps
- (2017) Haodong Li et al. IEEE Transactions on Information Forensics and Security
- SIFT-Symmetry: A robust detection method for copy-move forgery with reflection attack
- (2017) Nor Bakiah Abd. Warif et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Detecting seam carving based image resizing using local binary patterns
- (2015) Ting Yin et al. COMPUTERS & SECURITY
- Median Filtering Forensics Based on Convolutional Neural Networks
- (2015) Jiansheng Chen et al. IEEE SIGNAL PROCESSING LETTERS
- Passive Image-Splicing Detection by a 2-D Noncausal Markov Model
- (2015) Xudong Zhao et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Revealing the Trace of High-Quality JPEG Compression Through Quantization Noise Analysis
- (2015) Bin Li et al. IEEE Transactions on Information Forensics and Security
- Copy–Move Forgery Detection by Matching Triangles of Keypoints
- (2015) Edoardo Ardizzone et al. IEEE Transactions on Information Forensics and Security
- Efficient Dense-Field Copy–Move Forgery Detection
- (2015) Davide Cozzolino et al. IEEE Transactions on Information Forensics and Security
- Blurred Image Splicing Localization by Exposing Blur Type Inconsistency
- (2015) Khosro Bahrami et al. IEEE Transactions on Information Forensics and Security
- Detection of copy–move image forgery using histogram of orientated gradients
- (2015) Jen-Chun Lee et al. INFORMATION SCIENCES
- Copy-move forgery detection based on scaled ORB
- (2015) Ye Zhu et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Copy-move forgery detection and localization by means of robust clustering with J-Linkage
- (2013) Irene Amerini et al. SIGNAL PROCESSING-IMAGE COMMUNICATION
- An Evaluation of Popular Copy-Move Forgery Detection Approaches
- (2012) Vincent Christlein et al. IEEE Transactions on Information Forensics and Security
- A SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery
- (2011) I. Amerini et al. IEEE Transactions on Information Forensics and Security
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search