By applying specific colors to numerical data (4D), analysts can more easily "pull" (Tarik Paito) patterns and trends that would be invisible in a standard monochrome list.
By processing light and color information before it reaches the digital sensor, systems can filter out unnecessary data, reducing the computational load on the CPU/GPU.
Strategic color filtering and lighting adjustments make features like edge detection and object recognition more robust in diverse environments. 2. Color Theory in Visual Arts Education