Apple Reference Image: A New Approach for Verified Photography - Apple Security Research
Introducing Apple Reference Image, a new solution for verifiable photography on iPhone. This new, opt-in camera mode lets a photographer create a securely timestamped reference image that accurately depicts what was captured by the iPhone's camera sensor. Apple Reference Image offers a trustworthy, scalable guarantee that a reference image is what it claims to be: a real photograph, captured by a real sensor in an iPhone camera, at a specific period in time.
ImageWhisperer — AI Image Detector
Upload an image. Get the investigation. 41 checks, one verdict, plain-language evidence. By Henk van Ess.
Verify OpenAI-generated images
Verify if an image was generated using OpenAI tools. Upload an image to look for provenance signals like C2PA metadata or SynthID watermarks.
Meet this super-spotter of duplicated images in science papers
Elisabeth Bik quit her job to spot errors in research papers — and has become the public face of image sleuthing.
Generating a Color Spectrum for an Image — Amanda Hinton
Walkthrough of building the Chromaculture Spectrimage analyzer that extracts and displays the color composition of an uploaded image.
Reality Check — Real photo or AI?
Trust your eyes, build a streak, and beat your score in 60 seconds.
AI Images Detectors Are Being Used to Discredit the Real Horrors of War
Online AI image detecting tools that may or may not work are labeling real photographs from the war in Israel and Palestine as fake, creating what a world leading expert called a “second level of disinformation.”
Verification · mu
The Trusted Verifier Program on mu: a democratic, plural approach to verification. Verification tells you an account is who they claim to be.
Verification · mu
The Trusted Verifier Program on mu: a democratic, plural approach to verification. Verification tells you an account is who they claim to be.
Google Gemini is getting better at identifying AI fakes
Hey Gemini, is this image AI?
Security Verification
Security verification page to protect against malicious bots.
Apple’s new iPhone camera mode promises to prove your photo isn’t AI
A new twist on content authentication.
Imagetwin
AI-powered image analysis to detect duplication, manipulation, plagiarism, and AI-generated content in research papers.
JPEG XL
The JPEG XL Image Coding System[8] (JPEG XL, sometimes shortened to JXL) is an image format that supports both lossy and lossless compression. It was developed by the Joint Photographic Experts Group (JPEG), Google and Cloudinary. It is a free and open standard defined by ISO/IEC 18181. The standard consists of four parts that cover the Core coding system, File format, Conformance testing, and Reference software, respectively.
About Image Cooperative – Image Cooperative
We are a cooperative of imaging scientists dedicated to advancing open standards and open source technology in scientific image data analysis, storage, and dissemination. We believe that collaborating with open tools can dramatically accelerate scientific progress for the benefit of all. We deliver our mission through standards development, software development, training, and education.