Color Adjustment for Brand Logos in Dark Mode Display Settings

This version updates the notebook(applying regression & hue adjustment to original logos.ipynb) and one CSV(original logo colors.csv) files. Other files remain unchanged. This repository contains a Python implementation of the computational color adjustment model developed for adapting brand logos to dark mode display settings. "original_... .csv" contains the input color values (in L*a*b* format) for the brand logos to be adjusted. "LCh_... .csv" and "midpoint_....csv" are lookup tables that the Python script references during computation. To use the code, replace the color values in "original_... .csv" with your own input values, then execute the Python script. The script will output a file titled "adjusted_... .csv", which contains the adjusted color values optimized for dark mode.