Color Tracking and Balancing for Augmented Reality
The colors that are ultimately recorded by both consumer-grade and high-end digital cameras depend on a plethora of factors and are influenced by complex hardware and software processing algorithms, making the precise color quality of captured images difficult to predict and control. As a result, post-processing algorithms are required to fix color-related issues. This problem is generally known as color balancing or color grading, and plays a central role in all areas involving capturing, processing and displaying image data. In this project, we investigate various real-time color balancing algorithms that are able to globally adapt the colors of a source image or video to match a desired target look.
This software is available as a Nuke plugin and as standalone software