Results 141 to 150 of about 13,696 (179)

Image Forgery Detection Using CNN

2021
In today’s world, digital images are widely used in various domains such as; newspapers, scientific journals, magazines, and many other fields. Unfortunately, today’s digital technology made it easy for digital images to be forged due to the availability of the low cost photo editing software like Adobe Photoshop.
Aadeesh Jain, Aditya Sharma, Kanishk Gupta, Ketan Likhi, Neha Mehra, Sonika Shrivastava, Divyansh Joshi   +6 more
openaire   +1 more source

Digital Image Forgery Detection

International Journal of Innovative Science and Research Technology
This project proposes an image forgery detection method using CNN, capable of delivering high accuracy and a clear explanation for each forged instance. In the past few years, image forgery has increased drastically, owing to the easy availability of image editing tools and techniques, including morphing. To mitigate this increasing menace and mitigate
Parkavi C, Karthika M, Dhanush M, Saran SM, Srinivas A   +4 more
openaire   +2 more sources

Image Forgery detection on cloud

2019 2nd International Conference on Signal Processing and Communication (ICSPC), 2019
Every day many digital documents are produced and distributed by televisions, newspapers, magazines, and websites. In all these communication channels images play an important role in communicating the information. Today, it is very easy to manipulate digital images with the help of advanced computer, photo editing software, image processing techniques
Alisha James, E. Bijolin Edwin, Anjana M C, Angel Mary Abraham, Harsha Johnson   +4 more
openaire   +1 more source

Detecting image forgeries using metrology

Machine Vision and Applications, 2010
Image forgery technology has become popular for tampering with digital photography. This paper presents a framework for detecting fake regions using single view metrology and enforcing geometric constraints from shadows. In particular, we describe how to (1) estimate the region of interest’s 3D measurements from a single perspective view of a scene ...
Wu, L., Cao, X., Zhang, W., Wang, Y.
openaire   +2 more sources

Digital image forgery detection using Image hashing

2013 International Conference on Advances in Technology and Engineering (ICATE), 2013
Image hashing is one of the techniques used to generate hash value for each image in the database. These hash values generated for images can be used for content based image retrieval, image database indexing, and image authentication, avoiding and mitigating the tampering of digital images.
H. B. Kekre, D. Mishra, P. N. Halarnkar, P. Shende, S. Gupta   +4 more
openaire   +1 more source

Revealing image forgery through image manipulation detection

2015 Global Conference on Communication Technologies (GCCT), 2015
Digital images have a very significant role in various fields like medical imaging, journalism, criminal and forensic investigations. Because of the widespread availability of photo editing software and tools, it becomes problematic to use the digital images in applications where their genuineness is of prime importance.
Jayshri Charpe, Antara Bhattacharya
openaire   +1 more source

Advance Image Forgery Detection

Gurukul International Multidisciplinary Research Journal
Abstract :- In the digital era, the proliferation of sophisticated image editing tools has made image forgery a prevalent issue, posing significant challenges in various fields, including legal proceedings, journalism, and digital security. Advanced image forgery detection techniques are crucial to ensuring the authenticity and integrity of digital ...
openaire   +1 more source

Forgery Detection in 3D-Sensor Images

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018
The field of Image Forensic, and with it the notion of image forgery and its detection, is widely studied in 2D images and videos. Since 3D cameras (cameras with depth sensors) are becoming increasingly commonplace, it is of importance to introduce the notion of forgery detection in depth-images.
Noa Privman-Horesh, Azmi Haider, Hagit Hel-Or   +2 more
openaire   +1 more source

Image Forgery Detection and Localization

2015
Con la continua diffusione di strumenti software semplici e potenti per editare le immagini, la contraffazione di immagini è diventata sempre più comune; contemporaneamente si è diffuso l'interesse per l'image forensic cioè quelle metodologie e algoritmi capaci di rilevare l'integrità dell'immagine.
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Image Forgery Detection using CNN

2023 3rd International Conference on Intelligent Technologies (CONIT), 2023
Meet Patel, Kartikay Rane, Niyati Jain, Praneel Mhatre, Shree Jaswal   +4 more
openaire   +2 more sources