Image Processing

Digital Image Processing (DIP) uses algorithms to manipulate pixel data—enhancing quality, extracting features, and preparing images for autonomous machine perception (Computer Vision).

DIP is the application of computer algorithms to a digital image to achieve a specific outcome: an improved image or extracted data. Core tasks include image enhancement (e.g., noise reduction, sharpening), restoration, and segmentation. Key applications are crucial across multiple sectors: medical imaging (MRI/X-ray analysis), remote sensing (satellite data), and automated inspection for quality control. This technology, dating back to the 1964 Ranger 7 lunar photos, is the foundational signal processing layer for modern AI systems like facial recognition.

https://en.wikipedia.org/wiki/Digital_image_processing