Skip to content
#

gray-world

Here are 2 public repositories matching this topic...

A Python implementation of color constancy algorithms for photo enhancement, based on the comprehensive review by Foster (2011). This package implements several key color constancy techniques including Gray World assumption, White Patch correction, Von Kries adaptation, Retinex enhancement, and spatial color correction methods.

  • Updated Jul 9, 2026
  • Python

Do superpixels survive a lighting change? Benchmarking SLIC superpixel stability under varying illumination, with and without gray-world color constancy — measured by boundary IoU, Variation of Information and neighbor stability.

  • Updated Aug 24, 2026
  • Python

Improve this page

Add a description, image, and links to the gray-world topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the gray-world topic, visit your repo's landing page and select "manage topics."

Learn more