Results 21 to 30 of about 13,696 (179)
Enhancing Digital Image Forgery Detection Using Transfer Learning
IEEE Access, 2023 Nowadays, digital images are a main source of shared information in social media. Meanwhile, malicious software can forge such images for fake information. So, it’s crucial to identify these forgeries. This problem was tackled in the literature by
Ashgan H. Khalil +4 more
doaj +1 more source
Fusion of block and keypoints based approaches for effective copy-move image forgery detection [PDF]
, 2016 Keypoint-based and block-based methods are two main categories of techniques for detecting copy-move forged images, one of the most common digital image forgery schemes. In general, block-based methods suffer from high computational cost due to the large
Liu, Yanan +5 more
core +1 more source
Detection of Geometric Transformations in Copy-Move Forgery of Digital Images [PDF]
, 2015 Digital Forensics is a branch of forensic science which is related to cyber crime. It basically involves the detection, recovery and investigation of material found in digital devices.
Shandilya, Meenal
core +1 more source
A Survey on Photo Forgery Detection Methods
ITM Web of Conferences, 2018 In recent years, digital image forgery detection has become one of the hardest studying area for researchers investigations in the field of information security and image processing.
Gurunlu Bilgehan, Ozturk Serkan
doaj +1 more source
Forensic Technique for Detection of Image Forgery [PDF]
, 2017 Todays digital image plays an important role in all areas such as baking, communication, business etc. Due to the availability of manipulation software it is very easy to manipulate the original image.
Chourey, A. P. (Asst) +1 more
core +1 more source
A New Method to Detect Splicing Image Forgery Using Convolutional Neural Network
Applied Sciences, 2023 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 one of the most complex digital image applications.
Khalid M. Hosny +3 more
doaj +1 more source
Fuzzy Based Image Forensic Tool for Detection and Classification of Image Cloning
International Journal of Computational Intelligence Systems, 2016 With the easy availability of image processing and image editing tools, the cases of forgery have been raised in the last few years. Now days it is very difficult for a viewer and judicial authorities to verify authenticate a digital image.
Mohammad Farukh Hashmi +2 more
doaj +1 more source
Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers
Big Data Mining and Analytics, 2023 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 portion of an image by pasting other portions of the same image. The detection
S. B. G. Tilak Babu, Ch Srinivasa Rao
doaj +1 more source
Information, 2019 The problem of forged images has become a global phenomenon that is spreading mainly through social media. New technologies have provided both the means and the support for this phenomenon, but they are also enabling a targeted response to overcome it ...
Younis Abdalla +2 more
doaj +1 more source
PRNU-Based Content Forgery Localization Augmented With Image Segmentation
IEEE Access, 2020 The advances in image editing and retouching technology have enabled an unskilled person to easily produce visually indistinguishable forged images. To detect and localize such forgeries, many image forensic tools rely on visually imperceptible clues, e ...
Xufeng Lin, Chang-Tsun Li
doaj +1 more source