Digital image processing (DIP) is the process of enhancing images using math and computers, enabling features like face filters, medical image analysis, and autonomous vehicles.
Images are made up of pixels with color values, stored in resolutions, and undergo six main processing steps including acquisition, preprocessing, segmentation, representation, recognition, and knowledge base.
Key elements of DIP include image acquisition, storage in formats like JPEG and PNG, processing for adjustments and compression, communication over networks, and display on devices like phones and TVs.
Understanding DIP is relevant for social media filters, healthcare diagnostics, and various everyday technologies, making it accessible even to those without advanced technical knowledge.