Digital image forgery detection: a systematic scrutiny
Image manipulation has eroded our trust of digital images, with more subtle forgery methods
posing an ever-increasing challenge to the integrity of images and their authenticity. Over …
posing an ever-increasing challenge to the integrity of images and their authenticity. Over …
Recent advances in digital multimedia tampering detection for forensics analysis
In the digital multimedia era, digital forensics is becoming an emerging area of research
thanks to the large amount of image and video files generated. Ensuring the integrity of such …
thanks to the large amount of image and video files generated. Ensuring the integrity of such …
Improving the harmony of the composite image by spatial-separated attention module
Image composition is one of the most important applications in image processing. However,
the inharmonious appearance between the spliced region and background degrade the …
the inharmonious appearance between the spliced region and background degrade the …
Image forgery detection: survey and future directions
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 …
information. Images are becoming increasingly ubiquitous in everyday life. Unprecedented …
Identification of copy-move and splicing based forgeries using advanced SURF and revised template matching
Various image tampering detection approaches are used to find the variations or
inconsistencies in statistical image features. But still these techniques lack behind to identify …
inconsistencies in statistical image features. But still these techniques lack behind to identify …
The point where reality meets fantasy: Mixed adversarial generators for image splice detection
VV Kniaz, V Knyaz… - Advances in neural …, 2019 - proceedings.neurips.cc
Modern photo editing tools allow creating realistic manipulated images easily. While fake
images can be quickly generated, learning models for their detection is challenging due to …
images can be quickly generated, learning models for their detection is challenging due to …
A new method to detect splicing image forgery using convolutional neural network
Recently, digital images have been considered the primary key for many applications, such
as forensics, medical diagnosis, and social networks. Image forgery detection is considered …
as forensics, medical diagnosis, and social networks. Image forgery detection is considered …
Coarse-to-fine-grained method for image splicing region detection
X Wang, Y Wang, J Lei, B Li, Q Wang, J Xue - Pattern Recognition, 2022 - Elsevier
In this study, we aim to improve the accuracy of image splicing detection. We propose a
progressive image splicing detection method that can detect the position and shape of …
progressive image splicing detection method that can detect the position and shape of …
Locating splicing forgery by fully convolutional networks and conditional random field
To expose and locate splicing forgery, hand-crafted features are often utilized to discern
tampered area in a synthesized image. However, given a spliced picture without prior …
tampered area in a synthesized image. However, given a spliced picture without prior …
An integrated method of copy-move and splicing for image forgery detection
Splicing and copy-move are two well known methods of passive image forgery. In this paper,
splicing and copy-move forgery detection are performed simultaneously on the same …
splicing and copy-move forgery detection are performed simultaneously on the same …