Dear Amped friends, did you notice that small box under the tree? Santa brought a gift for you: a brand new update of Amped Authenticate! For the second time in a row, we’re adding something big to our software… keep reading to find out what!Continue reading
Ready for a hot summer? Amped Authenticate is! This third update in 2020 is hot! Keep reading to find out more – you don’t want to miss this one!Continue reading
Notwithstanding the disquieting COVID-19 emergency that is severely hitting the world, Amped engineers are lucky enough to continue working (from home), and so we are proudly delivering a new update to Amped Authenticate! Keep reading to discover what’s new.Continue reading
Here we are! 2020 has just begun, and we’re releasing a brand new update to Amped Authenticate. Keep reading to find out what we’ve brewed for our loyal users.
If you’re an Amped FIVE user, you’ve probably met this long-awaited feature a few weeks ago: now it is available in Amped Authenticate as well! We’re talking about the possibility of customizing the look and structure of reports generated at the end of your work. As soon as you click on the Generate Report button (under the Tools menu), you’ll be shown this window:
You’ll see we have a new Report Template dropdown menu, which allows you to select one of the Amped-prepared templates:
The extra-hot summer we’ve had in Italy didn’t stop our dev team! So here we are again this week with another release, this time for Amped Authenticate, maybe just in time for you to try it before your summer holidays!
Projects and Report
We are proud to introduce this widely requested feature: you have now the ability to bookmark results, add comments, organize bookmarks in folders, and finally generate a fully-detailed Report for your case. Below is how Authenticate’s new interface will look like at the end of an image investigation:Continue reading
The festive season is right around the corner and this is one of our busiest times of the year! Despite this, we’re here with another update to Amped Authenticate just in time for the holidays!
While we’ve included the ability to generate batch processing reports for a while, we’re now introducing an exciting new reporting method designed to make it quicker and easier to report relevant filters.
Not long has passed since the release of Amped Authenticate 10641 but… yes, the next one is already out! Amped Authenticate 11362 is now released with a lot of improvements, including two new filters based on JPEG Dimples, one of the last discoveries of the image forensics scientific community!
Despite many attempts to send JPEG into retirement, today the vast majority of digital images still use it. Amped Authenticate users know that traces left by JPEG compression are a superb asset when it comes to investigating the digital history of an image, as witnessed by the vast JPEG-based toolkit that Authenticate provides: quantization table analysis, JPEG ghosts, inconsistencies in blocking artifacts, double quantization traces in the DCT coefficients, and more.
But JPEG is still full of new surprises nowadays! A few months ago, while Amped was attending (and sponsoring!) the IEEE 2017 International Workshop on Information Forensics and Security (WIFS 2017), a new footprint was presented to the scientific community: JPEG Dimples (click here to see the original work Photo forensics from JPEG dimples by Shruti Agarwal and Prof. Hany Farid).
JPEG Dimples manifest themselves as a grid of slightly brighter/darker pixels, spaced by 8 pixels in each dimension. Like most image forensic fingerprints, even JPEG Dimples are hardly visible by the human eye, but they can be easily detected with a proper algorithm.
But why does this grid appear? And why is it important for our analysis? We’ll answer these questions in detail in a future blog post, however the reason behind JPEG Dimples is rather simple: during the DCT coefficients quantization phase, different operators exist to approximate decimal values to integer values: the round operator (which approximates the decimal number to the nearest integer) the floor operator (approximation to the nearest smaller integer) or the ceil operator (approximation to the nearest bigger integer). The table below shows the difference in approximating a Value (first column) to an integer using round, floor and ceil.
Obviously, using floor tends to produce smaller values in the 8-by-8 DCT block than using round, and the opposite with ceil. And when we go back to the pixel domain, this leads to a slightly darker or brighter pixel on the top-left corner of the pixel block (see example below)! Measuring the presence of this grid will tell us to which degree an image contains the JPEG Dimples footprint.
Now you may be wondering “well, how many cameras will ever be using floor or ceil in place of the more classical round?” Not so few, actually. According to the work presented at WIFS 2017, more than 60% of tested cameras do introduce Dimples. We also carried out an internal evaluation on Amped datasets and numbers were less upsetting, still, we found Dimples in roughly 30% of tested cameras. A footprint with such a spread could not be missing in Amped Authenticate, and so here we are. Continue reading
David Spreadborough here, the International Trainer at Amped Software. It’s great to be back writing a blog post. The past few months have been very busy at Amped and our image authentication software, Amped Authenticate, has become the ‘go-to’ tool for many requiring an image’s history or to identify signs of manipulation. Helped maybe by the huge amounts of press detailing fake stories and images.
In this crazy world of multimedia forensics, we cannot stand still. The tech wizards at Amped HQ have been hard at work integrating new filters and tools to assist you further. So, let’s dive in and take a look!
Social Media Identification Filter
Under the File Analysis category, you will find this new filter.
Its purpose is to detect traces in the file formats left on images by social media platforms. As most of you probably already know, it is very easy to save other people’s images from sharing sites. With a simple right-click, you can save the displayed image to your computer.
An image from someone’s Facebook timeline
This filter now enables you to identify if the images you are examining originate from a Social Media Platform.
We’ve just launched some pretty important additions to Amped Authenticate. Not only have we integrated it with CameraForensics, but we have also made some major improvements to the quantization tables in addition to many other internal improvements. Read below for the details.
The main purpose of Amped Authenticate is to verify if a picture is an original coming from a specific device or if it’s the result of manipulation using image editing software. One of the main tests to verify the file integrity is to acquire the camera that is assumed to be the one that has generated the photo (or at least the same model) and verify if the format is compatible with the file under analysis.
While this sounds easy in practice, many devices have so many different settings and because of this it can be challenging to recreate the same conditions. Furthermore, the camera is often not available.
What if we look on the web for pictures coming from a specific device? While we cannot, in general, guarantee the integrity of files downloaded from the web, we can triage them pretty easily and do a comparison with the image under analysis.
But how do you search for images on the web in an efficient manner? We have had “Search for Images from Same Camera Model…” in Authenticate for quite some time. It allows you to search on Google Images and Flickr, but the search is not always optimal, as it has to apply different workarounds to work efficiently in a forensic setting.
So, what if someone built a database of pictures on the web, optimized for investigative use, enabling you to instantly search for images coming from a specific device and with specific features such as resolution and JPEG quantization tables? Turns out the guys at CameraForensics did exactly this (and much more) and we partnered with them to provide a streamlined experience.
Let’s see how it works. Continue reading
At Amped Software we are continually researching new methods to help you in your analysis. Designing, testing and then implementing new features and filters is a continuous process. When complete, we get these out to you as soon as we can.
In this post, I will be introducing you to some of the latest developments in Amped Authenticate.
For those new to this blog, or the software, Amped Authenticate is a software package that enables you to conduct forensic image authentication and tamper detection on digital photos and documents. Today, digital images are key sources of evidence in criminal activities. But the creation and manipulation of those images is relatively easy to do, so it is vitally important that images being used as evidence are what they say they are. Amped Authenticate is the only software in the market that includes, in one single and easy to use package, all the scientific tools and functions necessary to discover tampering on an image or determine originality, and to verify if a picture has been generated by a specific device.
This update includes some very big improvements and additions.
Amped FIVE users will be aware of how powerful the Fourier domain is in identifying and then removing frequency noise in images. This frequency noise can also be used to identify signs of LCD Recapture. As a result, this filter is now included in Authenticate.