colour-science

Project Indigo - a computational photography camera app:

research.adobe.com/articles/ind...

The Cosmic Treasure Chest | Rubin Observatory Dive into Rubin's Cosmic Treasure Chest — there's so much to explore

The Cosmic Treasure Chest by Rubin Observatory:

rubinobservatory.org/news/rubin-f...

Thanks to the great work by @MichaelMauderer, CLF support is now available in Colour!

www.colour-science.org/posts/suppor...

Not colour science related but of interest in this day and age: Prompt Engineering by Lee Boonstra from Google

buff.ly/LfCpQ0t

Release v2.4.2 · AcademySoftwareFoundation/OpenColorIO This is an ABI-compatible update for the 2.4.x series that includes all fixes and enhancements since the 2.4.1 release. With the 2.4.2 release, the "Preview" label is now removed from the ACES 2 im...

OpenColorIO 2.4.2 has been released and ACES 2 support is now officially available with it!

buff.ly/5Lm0Rad

Release OpenColorIO-Config-ACES 3.0.0 for ACES 2.0 · AcademySoftwareFoundation/OpenColorIO-Config-ACES The Working Group is pleased to announce the release of the new OpenColorIO Configuration(s) for ACES 2.0. We would like to thanks again all the authors and contributors to this release: Carol Pay...

We are pleased to announce the release of the new OpenColorIO Configuration(s) for ACES 2.0: buff.ly/guty9Fh

What I tend to do is to use the sRGB matrix for any IO with “outside” data because most people use the matrices directly and for any “internal” processing, I use the derived matrices from ITU-R BT.709.

Hello,

The reason is because sRGB (IEC 61966-2-1:1999) defines the transformation from CIE XYZ to sRGB using a matrix with 4 decimals where ITU-R BT.709 only specifies the primaries and whitepoint which allows derivation of transformation matrices at machine, e.g., double precision.

Compression of Spectral Images using Spectral JPEG XL: jcgt.org/published/00...

Using trained algorithms in interactive colour grading There is a lot of hype about AI in the colour grading suite. But which algorithms are practically usable for the big screen right now, and how far can we push these new algorithms before they fall apart? FilmLight’s Daniele Siragusano critically inspects the possibilities, strengths and weaknesses of a new class of trained image processing algorithms – all in the context of interactive, client-attended colour grading for high-end motion pictures.

Using trained algorithms in interactive colour grading: bit.ly/41cIvm6

YouTube video by runevision Surface-Stable Fractal Dithering

Surface-Stable Fractal Dithering: youtu.be/HPqGaIMVuLs

Scheming reasoning evaluations — Apollo Research Apollo Research evaluated frontier models for in-context scheming capabilities. We found that multiple frontier models are capable of in-context scheming when strongly nudged to pursue a goal (and som...

Not colour science related but of interest for anyone working with LLMs: www.apolloresearch.ai/research/sch...

What if we made a camera that sees in reverse? Check out https://brilliant.org/StuffMadeHere/ for a free 30-day trial and 20% off your annual premium subscription! Help support these projects on Patreon: https://patreon.com/stuffmadehere Be sure to subscribe if you like this kind of stuff! https://tinyurl.com/sub2smh Sources used in video: - Thomas the tank image by http://www.hitnewsonline.com/, Fair use, https://en.wikipedia.org/w/index.php?curid=13878653 - Bayer pattern by Cburnett, CC BY-SA 3.0 http://creativecommons.org/licenses/by-sa/3.0/

Real Life Orthographic (and more) Projection Camera: bit.ly/3VXM1h8

David J. C. Briggs (@DBriggs60) publications are available here: bit.ly/4iOhbRS

YouTube video by EuroRust Building an extremely fast Python package manager, in Rust - Charlie Marsh | EuroRust 2024

Building an extremely fast Python package manager, in Rust by @crmarsh.com

youtu.be/zOY9mc-zRxk

python-build-standalone has exploded in popularity, with over 70M downloads all-time.

But what is a "standalone" Python build?

It wasn't obvious to me at first! Initially, I didn't understand what problem was being solved or why it mattered...

GitHub - facebookresearch/BioSkin: Inference of biophysical skin properties from RGB reflectance, with spectral upsampling from 380 to 1000 nm. An interactive viewer and editor is provided, alongside ... Inference of biophysical skin properties from RGB reflectance, with spectral upsampling from 380 to 1000 nm. An interactive viewer and editor is provided, alongside several practical applications. ...

BioSkin : Implementation of "A Hyperspectral Space of Skin Tones for Inverse Rendering of Biophysical Skin Properties"

bit.ly/4fzVov0