Curious about what’s new in G’MIC 3.6? I’ve written a (long) summary article highlighting the most interesting changes and improvements since last year

G'MIC is a full-featured open-source framework for digital image processing, distributed under the CeCILL free software licenses (LGPL-like and/or GPL-compatible). It provides several user interfaces to convert / process / visualize generic image datasets, ranging from 1D scalar signals to 3D+t sequences of multi-spectral volumetric images, hence including 2D color images. We provide a cool plug-in for GIMP (2.10 and 3.0) that offers more than 600 image filters for free.

This animation is the visualization of each slice of a 3D volume filled with 3D ellipses with random colors, orientations, sizes, anisotropy.

Hi HN, I'm one of the main developers of G'MIC (GREYC's Magic for Image Computing), an open-source image processing framework we've been building for over a decade. G'MIC provides hundreds of image processing filters and tools, available as a command-line tool, a GIMP/Krita plugin, a standalone GUI, and a C++ library for developers.

We just released G'MIC 3.5.3, which brings new filters, optimizations, and improvements across multiple filters. Our goal is to provide fast, scriptable, and highly customizable image processing tools that work for photographers, digital artists, and researchers alike.

Would love to hear your thoughts and feedback! You can check it out here: https://gmic.eu. Happy to answer any questions!

A new version 3.4.0 of G'MIC (GREYC's Magic for Image Computing) has just been released. With this new release, we celebrate the project's 16th anniversary!

On this occasion, we summarize the recent features added to our open-source framework for digital image processing.

Thank you for G'MIC! The FFT in partiqular has been a life-saver on multiple occasions, letting me denoise specific patterns out various old images and photos.

I just passed a lot of time going through all the examples/demos—render me impressed!

I've been working on this project during the last 15 years.

G'MIC is an open-source framework for digital image processing, distributed under the CeCILL free software licenses (LGPL-like and/or GPL-compatible).

It provides several user interfaces to convert / process / visualize generic image datasets, ranging from 1D scalar signals to 3D+t sequences of multi-spectral volumetric images, hence including 2D color images.

If you count the number of distinct RGB colors of this image, you will find 16777216 colors, which turns out to be the number of pixels of the image (4096x4096) as well as the number of all possible 8bits/channels RGB colors.

Question: How was this image generated? :)

If you zoom in, you'll see that the image is dithered, with neighboring pixels often having very different colors that average out to the target color of that area.

There's a whole community of people who're into creating these kinds of images: https://allrgb.com/

this seems like the visual equivalent of 12 tone serialism