Brightfield images of rank-based transformation (RBT)

The Rank-Based Transformation (RBT) method combines histogram expansion and normalization to enhance image contrast. It works by ranking each pixel's intensity in ascending order, and then redistributing these ranks evenly across a specified intensity range. Pixels with identical intensities share the same rank, ensuring consistent mapping. This process produces an output image with uniformly spaced intensity levels, improving contrast while preserving relative intensity relationships.

For more details, please check the included README.md or visit the GitHub for RBT algorithm (https://github.com/nordlinglab/RBT).