Digital image processing involves manipulating and analyzing images using algorithms to enhance quality, extract information, or enable automation. It includes tasks like filtering, segmentation, and object recognition, used in medical imaging, photography, and computer vision.

Digital image processing is a field focused on manipulating and analyzing images using computational algorithms to improve their quality, extract meaningful information, or enable automation. It involves techniques such as filtering, noise reduction, image enhancement, segmentation, and object recognition, which are applied to digital images for various purposes. Applications span across industries, including medical imaging (e.g., enhancing X-rays or MRIs), photography (e.g., editing and restoration), surveillance (e.g., facial recognition), and computer vision (e.g., autonomous vehicles). By transforming raw pixel data into actionable insights, digital image processing plays a critical role in improving accuracy, efficiency, and innovation in tasks that rely on visual information.