What is use of weber's law in image processing?

Weber's Law, which states that the just noticeable difference (JND) between stimuli is proportional to the magnitude of the stimuli, is applied in image processing to enhance contrast and improve perceptual quality. By adjusting pixel values based on their surrounding context, algorithms can emphasize features that are more noticeable to the human eye, leading to better visual outcomes. This principle is particularly useful in tasks like histogram equalization and edge detection, where enhancing significant differences in intensity can make images clearer and more intelligible.