Image Processing Techniques

Image processing techniques involve manipulating or analyzing visual data to improve quality or extract useful information. This includes enhancing images with filters to make details clearer, removing noise or distortions, adjusting brightness or contrast, and detecting objects or edges for identification. These methods help in applications like medical imaging, security, photography, and autonomous vehicles, enabling computers to interpret images more effectively. Essentially, image processing transforms raw images into more meaningful, usable visuals through a variety of mathematical and algorithmic operations.