We see hundreds or even thousands of images a day, and almost all of them have been digitally manipulated in some way. This video will help you with the analysis of Digital photos to determine if they are fake or not

Related Article
[ Ссылка ]

Sample photo files in video
[ Ссылка ]

Online Photo Forensic tools

Forensically | Free | Web

#Forensics #ImageAnalysis #Tutorial
Forensically is a set of free tools for digital image forensics. It includes clone detection, error level analysis, metadata extraction and more.

Website : [ Ссылка ]

FotoForensics | Free | Web
FotoForensics aims to simplify the evaluation process. It works like a microscope — by highlighting artefacts and details that the human eye may not be able to identify.

Website: [ Ссылка ]


This video discusses the following image analysis techniques


Metadata Analysis (EXIF) -

EXIF stands for Exchangeable Image File Format. Every time you take a picture with your digital camera or phone, a file (typically a JPEG) is written to your device’s storage. In addition to all the bits dedicated to the actual picture, it records a considerable amount of supplemental metadata as well. This can include the date, time, camera settings, and possible copyright information. and also the photo processing software.

Clone Detection –
The clone detector highlights copied regions within an image. These can be a good indicator that a picture has been manipulated.

Error Level Analysis –
This tool compares the original image to a recompressed version. This can make manipulated regions stand out in various ways. For example, they can be darker or brighter than similar regions which have not been manipulated.

Noise Analysis –
This is a tool is basically a reverse denoising algorithm. Rather than removing the noise, it removes the rest of the image. It is using a super simple separable median filter to isolate the noise. It can be useful for identifying manipulations to the image like airbrushing, deformations, warping, and perspective corrected cloning. It works best on high-quality images.

Hishan Shouketh

свернуть