Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/167228
Title: Image analytics using artificial intelligence (detection of image forgeries using artificial intelligence)
Authors: Ngai, Jin Hong
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Ngai, J. H. (2023). Image analytics using artificial intelligence (detection of image forgeries using artificial intelligence). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167228
Project: A3265-221
Abstract: The veracity of digital images is examined due to the growing abuse of image editing programs like PhotoEditor and Adobe Photoshop Express.  Online social networks (OSNs) are the most common platforms for disseminating fabricated images to report false information, spread rumors, etc. Therefore, in this project we would like to impose the robust image forgery detection using Artificial intelligence. 
URI: https://hdl.handle.net/10356/167228
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Ngai Jin Hong NTU EEE FYP_Report_revised.pdf
  Restricted Access
Image Analytics Using Artificial Intelligence (Detection of Image Forgeries Using Artificial Intelligence)2.45 MBAdobe PDFView/Open

Page view(s)

147
Updated on Mar 18, 2025

Download(s)

13
Updated on Mar 18, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.