Description: Pixel comparison is a fundamental process in image processing that involves evaluating the pixel values in different images to identify differences and similarities. Each digital image is composed of a matrix of pixels, where each pixel has a value representing its color and brightness. By comparing these values between images, changes can be detected, such as in image editing, data compression, or object identification. This process is essential in various applications, from image enhancement to change detection in images. Pixel comparison enables image processing algorithms to perform tasks such as segmentation, alignment, and image fusion, thereby facilitating the extraction of relevant information and improving visual quality. In summary, pixel comparison is a key technique that allows for effective image analysis and manipulation, being a critical component in the field of image processing.
