Image Processing Libraries
Image processing libraries are software packages that provide tools and functions for manipulating, analyzing, and transforming digital images. They enable tasks such as filtering, enhancement, segmentation, feature extraction, and format conversion, commonly used in computer vision, photography, medical imaging, and multimedia applications. These libraries abstract low-level pixel operations into high-level APIs, making image manipulation accessible to developers without deep graphics programming expertise.
Developers should learn image processing libraries when building applications that involve visual data, such as photo editing software, automated quality inspection systems, facial recognition, or augmented reality. They are essential for tasks like resizing images for web display, applying filters in social media apps, extracting text from scanned documents (OCR), or preprocessing images for machine learning models, as they provide optimized, tested implementations that save development time and ensure performance.