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Image Processing

Image processing is a computational technique for analyzing, manipulating, and enhancing digital images using algorithms and mathematical operations. It involves tasks such as filtering, segmentation, feature extraction, and transformation to extract meaningful information or improve image quality. This field is fundamental in computer vision, medical imaging, photography, and various scientific applications.

Also known as: Image Analysis, Digital Image Processing, Computer Vision (overlapping), Image Manipulation, Img Proc
🧊Why learn Image Processing?

Developers should learn image processing when working on applications involving visual data analysis, such as facial recognition, autonomous vehicles, medical diagnostics, or photo editing software. It is essential for tasks like object detection, image restoration, and pattern recognition, enabling machines to interpret and act on visual information. Mastery of image processing is crucial for roles in AI/ML, robotics, and multimedia development.

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