Non-linear image processing

Non-linear image processing involves transforming images using methods where the output is not directly proportional to the input. Unlike linear approaches, which combine pixel values in straightforward ways, non-linear techniques modify images based on complex rules, enhancing features, reducing noise, or boosting details selectively. These methods are essential for tasks like sharpening, edge detection, or contrast adjustment, allowing for more sophisticated and tailored image improvements. By applying non-linear functions, we can better emphasize important details or suppress unwanted artifacts, resulting in clearer, more visually appealing images.