Image Filtering
Image filtering is a fundamental technique in digital image processing that involves applying mathematical operations to an image to enhance, modify, or extract features. It typically uses convolution with kernels or masks to perform tasks like blurring, sharpening, edge detection, and noise reduction. This process is essential in computer vision, photography, medical imaging, and graphics applications.
Developers should learn image filtering when working on projects involving image manipulation, computer vision, or real-time video processing, such as in mobile apps, web applications, or embedded systems. It is crucial for tasks like improving image quality, preparing data for machine learning models, or implementing creative effects in media software.