Digital image forgery detection under complex lighting using Phong reflection model

2022 ◽  
Vol 31 (05) ◽  
Author(s):  
Anuj Rani ◽  
Ajit Jain
Keyword(s):  
Digital Image ◽  
Forgery Detection ◽  
Image Forgery ◽  
Image Forgery Detection ◽  
Reflection Model ◽  
Digital Image Forgery

scholarly journals Image Forgery Detection and Localization using Modified JPEG Ghost

2019 ◽  
Vol 8 (12) ◽  
pp. 5433-5436
Keyword(s):  
Digital Image ◽  
Original Structure ◽  
Forgery Detection ◽  
Image Forgery ◽  
Digital Devices ◽  
Image Forgery Detection ◽  
Storage Format ◽  
Digital Image Forgery ◽  
Detection And Localization ◽  
Multiple Compression

Authenticity of an image taken digitally suffers severe threats as a result of increase in various powerful digital image editing tools. These tools modifies the image contents without leaving footprint of such modifications. We come up with a technique that analyzes digital image forgery detection in JPEG images which goes through multiple compression. Nearly all digital devices uses JPEG as a standard storage format to maintain the storage space. JPEG is a lossy compression standard. By using any image processing tools, when assailant changes any part of a JPEG image and save it, the alter part of the image has different compression artifacts. JPEG ghost algorithm is used to detect disparity in JPEG blocks that rise from improper alignments of JPEG blocks respect to original structure and detect local footprint of JPEG compression. In our work, our proposed technique will modify JPEG ghost detection to detect and localize digital image forgery.

Passive Aproaches for Detecting Image Tampering: A Review

2015 ◽  
Vol 73 (2) ◽  
Author(s):  
Fatma Salman Hashem ◽  
Ghazali Sulong
Keyword(s):  
Digital Image ◽  
Active Area ◽  
Forgery Detection ◽  
Image Forgery ◽  
Detection Techniques ◽  
Image Tampering ◽  
Highly Active ◽  
Image Forgery Detection ◽  
Hidden Data ◽  
Digital Image Forgery

This paper defines the presently used methods and approaches in the domain of digital image forgery detection.  A survey of a recent study is explored including an examination of the current techniques and passive approaches in detecting image tampering. This area of research is relatively new and only a few sources exist that directly relate to the detection of image forgeries. Passive, or blind, approaches for detecting image tampering are regarded as a new direction of research. In recent years, there has been significant work performed in this highly active area of research. Passive approaches do not depend on hidden data to detect image forgeries, but only utilize the statistics and/or content of the image in question to verify its genuineness. The specific types of forgery detection techniques are discussed below. 

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