FiA 64 Image Authentication Software

Cognitech’s.
FiA 64 Image Authentication Software.
DETECT, VERIFY.
AUTHENTICATE.
1.
What is FiA 64?.
Forensic Image Authentication .
FiA is a comprehensive software with analysis tools designed for forensic analysis and authentication of digital images.
This extensive toolkit will allow the user to investigate the evidence and detect possible traces of tampering or other types of inconsistencies.
FiA is used to systematically detect forged/doctored file based digital image evidence is able to authenticate and uncover where tampering and modification has taken place in a doctored image.
This solution allows the expert to prepare everything needed for official court ready reports and all results are based on a forensic scientific methodology .

FiA is a proven solution based on years of research

More research is being conducted to further extend software authentication capabilities to video authentication.

FiA was developed for Law Enforcement Agencies only

In addition it is not effective to purchase this technology without the associated comprehensive training course.
Purchase  FiA Feature List.
1.
PROVEN IMAGE AUTHENTICATION .
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The analysis tools in FiA 64 are scientifically peer reviewed and proven methods to detect image manipulation .
TOOLS ONLY FOUND IN FiA.
1.
FiA 64 includes analysis tools that can only be found in here including Differential Mapping.
AND MANY MORE.
ANALYSIS TOOLS.
1.
Have confidence with your results with the included 33 unique image authentication tools.
HOW CAN I AUTHENTICATE IMAGES?.
Load Images.
Compatible with all standard image types: BMP, GIF, JPG, JPG 2000, PBM, PCX, PGM, PNG, PPM, RAS, TIF.
Structure Analysis.
Compare an images data structure to detect if image editing software has been used.
EXIF Analysis.

Extract EXIF data and reveal details such as camera brand

model, serial number, settings, editing/tampering software, etc.
JPG QT.

Report and save Luminance and Chrominance Quantization Tables for JPG images

JPG DCT.
Reveal traces of JPEG recompression or indicate that the evidence image is consistent with an original.
Compression Level Analysis.
Find possible traces of image re-compression, for each Red, Green, Blue (RGB) layer separately, and for their mean.
Color Filter Array.
Explore the CFA interpolation process inside a digital photo camera to assess the correlation in each RGB layer.
G/B Screen.
Look for traces of image inconsistencies left by green or blue screen removals by digital editing.
Color Spaces.
Computes the RGB histogram that can be used to detect traces of previous brightness/contrast or histogram equalization.
DCT Map.
Reveal local traces of image manipulation like content aware or copy/paste between different images.
CL Map.
Find local traces of image manipulation like content aware or copy/paste between different images.
CFA Map.
Find local traces of image manipulation like content aware or copy/paste between different images.
Differential Map.
Detect and display local inconsistencies due to image tampering processes.
Error Level Analysis.
Computes the arithmetic difference between evidence image and a series of JPG re-compressed versions of it.
Adaptive Error Level Analysis.
Computes the adaptive arithmetic difference between evidence image and a series of JPG recompressed versions of it using a unique algorithm.
Smart Error Level Analysis.
Computes the smart adaptive arithmetic difference between evidence image and a series of JPG recompressed versions of it using a unique algorithm.
Ghost.
Ghost analysis can reveal possible traces of image re-compression.
Correlation Map.
Computes and displays the correlation between neighboring pixels and blocks of pixels.
It can reveal local traces of image manipulation like content aware or copy/paste between different images.
Probability Map.
Find the probability distribution between neighboring pixel blocks.
BA Map.
Displays the blocking artifacts of image data.
ADJPEG.

Checks for inconsistencies left by local tampering and double JPEG compression

NADJPEG.
Checks for inconsistencies left by local tampering and double JPEG compression nonaligned blocks.
Histogram Equalization.
Applies histogram equalization on each Red, Green, Blue channel, and the overall RGB image.
HP Filter.
Detection of image tampering traces, like content-aware or copy/paste between different images.

The HP analysis is based on Custom High Pass Filtering technique

PRNU Residue.
The digital camera’s matrix (pixel sensor) is an optic to electric energy transducer.
Its Photo Response Non-Uniformity (PRNU) can be used to detect copy/paste traces between images generated by different cameras or other types of image tampering.
Clone Fusion.
Automatic search for clones or copy/paste areas from the same image.
PRNU Camera.
Verify the suspect camera and compare the evidence image against reference images with the same resolution.
Difference (Δ).
Computes the difference between evidence (A) and a reference image (B).
The numeric results are displayed as: arithmetic absolute difference, correlation coefficient, and mean quadratic difference.
File Batching and Sorting.
Runs all the authentication functions on a file.
It will detect traces left by different image editors and other file structure inconsistencies, and copy the analyzed files in organized folders.
Customized Fast Batch.
End users can customize the authentication functions performed on a file batch.
Allowing only certain functions to be run.
Folder Batching.
Run file batching on multiple images in a directory.
WHERE TO PURCHASE?.

Cognitech’s FiA 64 is an addon product with TriSuite 64

It can be purchased alongside TriSuite 14

Please visit our purchasing page here Phone: (626) 796-0326 Email: [email protected]

Your email address will not be published.

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