An Image Forensic Technique Based on SIFT Descriptors and FLANN Based Matching

2021 ◽  
Author(s):  
Megha Gupta ◽  
Priyanka Singh
Keyword(s):  
Image Forensic

A Robust Blind Image Forensic-Detection Method based on Fuzzy Technique

2019 ◽  
Vol 8 (3) ◽  
pp. 5926-5929
Keyword(s):  
Research Direction ◽  
Geometric Transformation ◽  
Detection Accuracy ◽  
Forensic Investigation ◽  
Image Forensic ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Tampered Image ◽  
New Research ◽  
Blind Image

Blind forensic-investigation in a digital image is a new research direction in image security. It aims to discover the altered image content without any embedded security scheme. Block and key point based methods are the two dispensation options in blind image forensic investigation. Both the techniques exhibit the best performance to reveal the tampered image. The success of these methods is limited due to computational complexity and detection accuracy against various image distortions and geometric transformation operations. This article introduces different blind image tampering methods and introduces a robust image forensic investigation method to determine the copy-move tampered image by means of fuzzy logic approach. Empirical outcomes facilitate that the projected scheme effectively classifies copy-move type of forensic images as well as blurred tampered image. Overall detection accuracy of this method is high over the existing methods.

Digital Image Forensic Analysis using Hybrid Features

2021 ◽  
Author(s):  
Tahira Nazir ◽  
Aun Irtaza ◽  
Ali Javed ◽  
Hafiz Malik ◽  
Awais Mehmood ◽  
...  
Keyword(s):  
Digital Image ◽  
Forensic Analysis ◽  
Hybrid Features ◽  
Image Forensic

scholarly journals Research note: This photograph has been altered: Testing the effectiveness of image forensic labeling on news image credibility

2021 ◽  
Author(s):  
Cuihua Shen ◽  
Mona Kasra ◽  
James F. O’Brien
Keyword(s):  
Online News ◽  
Research Note ◽  
Human Beings ◽  
Image Forensic ◽  
General Inability

Despite the ubiquity of images and videos in online news environments, much of the existing research on misinformation and its correction is solely focused on textual misinformation, and little is known about how ordinary users evaluate fake or manipulated images and the most effective ways to label and correct such falsities. We designed a visual forensic label of image authenticity, Picture-O-Meter, and tested the label’s efficacy in relation to its source and placement in an experiment with 2440 participants. Our findings demonstrate that, despite human beings’ general inability to detect manipulated images on their own, image forensic labels are an effective tool for counteracting visual misinformation.

scholarly journals Novel framework for optimized digital forensic for mitigating complex image attacks

2020 ◽  
Vol 10 (5) ◽  
pp. 5198
Author(s):  
Shashidhar T. M. ◽  
K. B. Ramesh
Keyword(s):  
Digital Image ◽  
Cost Effective ◽  
Image Editing ◽  
Information Propagation ◽  
Digital Forensic ◽  
Image Forensic ◽  
Complex Image ◽  
Content Security ◽  
Large Scope ◽  
Design Attribute

Digital Image Forensic is significantly becoming popular owing to the increasing usage of the images as a media of information propagation. However, owing to the presence of various image editing tools and softwares, there is also an increasing threats over image content security. Reviewing the existing approaches of identify the traces or artifacts states that there is a large scope of optimization to be implmentation to further enhance teh processing. Therfore, this paper presents a novel framework that performs cost effective optmization of digital forensic tehnqiue with an idea of accurately localizing teh area of tampering as well as offers a capability to mitigate the attacks of various form. The study outcome shows that propsoed system offers better outcome in contrast to existing system to a significant scale to prove that minor novelty in design attribute could induce better improvement with respect to accuracy as well as resilience toward all potential image threats.

A novel method for detecting light source for digital images forensic

2011 ◽  
Vol 19 (2) ◽  
Author(s):  
A. Roy ◽  
S. Mitra ◽  
R. Agrawal
Keyword(s):  
Forensic Science ◽  
Light Source ◽  
Digital Image ◽  
Digital Images ◽  
Experimental Results ◽  
New Method ◽  
Light Sources ◽  
Image Forensic ◽  
Morality Politics ◽  
Novel Method

AbstractManipulation in image has been in practice since centuries. These manipulated images are intended to alter facts — facts of ethics, morality, politics, sex, celebrity or chaos. Image forensic science is used to detect these manipulations in a digital image. There are several standard ways to analyze an image for manipulation. Each one has some limitation. Also very rarely any method tried to capitalize on the way image was taken by the camera. We propose a new method that is based on light and its shade as light and shade are the fundamental input resources that may carry all the information of the image. The proposed method measures the direction of light source and uses the light based technique for identification of any intentional partial manipulation in the said digital image. The method is tested for known manipulated images to correctly identify the light sources. The light source of an image is measured in terms of angle. The experimental results show the robustness of the methodology.

Image Forensic for detecting Splicing Image with Distance Function

2017 ◽  
Vol 169 (5) ◽  
pp. 6-10
Author(s):  
Imam Riadi ◽  
Abdul Fadlil ◽  
Titi Sari
Keyword(s):  
Distance Function ◽  
Image Forensic
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