A survey on deep learning-based image forgery detection
Image is known as one of the communication tools between humans. With the development
and availability of digital devices such as cameras and cell phones, taking images has …
and availability of digital devices such as cameras and cell phones, taking images has …
Copy-move forgery detection: A state-of-the-art technical review and analysis
S Teerakanok, T Uehara - IEEE Access, 2019 - ieeexplore.ieee.org
This paper presents the state-of-the-art technical reviews and analysis of recent copy-move
forgery detection (CMFD) techniques. A new CMFD process pipeline was introduced. In …
forgery detection (CMFD) techniques. A new CMFD process pipeline was introduced. In …
Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers
SBGT Babu, CS Rao - Big Data Mining and Analytics, 2023 - ieeexplore.ieee.org
Passive image forgery detection methods that identify forgeries without prior knowledge
have become a key research focus. In copy-move forgery, the assailant intends to hide a …
have become a key research focus. In copy-move forgery, the assailant intends to hide a …
A novel deep learning framework for copy-moveforgery detection in images
In this era of technology, digital images turn out to be ubiquitous in a contemporary society
and they can be generated and manipulated by a wide variety of hardware and software …
and they can be generated and manipulated by a wide variety of hardware and software …
An efficient approach for copy-move image forgery detection using convolution neural network
Digital imaging has become elementary in this novel era of technology with unconventional
image forging techniques and tools. Since, we understand that digital image forgery is …
image forging techniques and tools. Since, we understand that digital image forgery is …
An efficient CNN model to detect copy-move image forgery
Recently, digital images have become used in many applications, where they have become
the focus of digital image processing researchers. Image forgery represents one hot topic on …
the focus of digital image processing researchers. Image forgery represents one hot topic on …
Copy move and splicing forgery detection using deep convolution neural network, and semantic segmentation
Image forgeries can be detected and localized by using deep convolution neural network,
and semantic segmentation. Color illumination is used to apply color map after pre …
and semantic segmentation. Color illumination is used to apply color map after pre …
An image copy-move forgery detection method based on SURF and PCET
C Wang, Z Zhang, Q Li, X Zhou - IEEE Access, 2019 - ieeexplore.ieee.org
With the maturity of image editing software, image content has been forged frequently,
posing potential threats to many critical fields. To detect forgery images effectively, this paper …
posing potential threats to many critical fields. To detect forgery images effectively, this paper …
Fast and effective Keypoint-based image copy-move forgery detection using complex-valued moment invariants
Copy-move forgery is one of the most common image tampering schemes, with the potential
use for misleading the opinion of the general public. Keypoint-based detection methods …
use for misleading the opinion of the general public. Keypoint-based detection methods …
New fractional-order Legendre-Fourier moments for pattern recognition applications
Orthogonal moments enable computer-based systems to discriminate between similar
objects. Mathematicians proved that the orthogonal polynomials of fractional-orders …
objects. Mathematicians proved that the orthogonal polynomials of fractional-orders …