Denoising

Image and Audio Processing: Techniques and Tools Images and audio are both data that computers can analyze and improve. The ideas are similar: clean up the signal, reveal useful patterns, and present results that people can act on. Start with a clear goal, then choose a representation that makes the task easier. Images often need cleaning, enhancement, or extraction of features. Common steps include reducing noise, adjusting brightness or color, sharpening edges, and detecting shapes. Audio work focuses on clarity, loudness, and meaningful content, such as removing hiss, equalizing balance, and analyzing frequency content. ...

Image and Video Processing with Computer Vision Image and video processing turn raw pixels into useful signals. Computer vision combines these techniques with interpretation, so a computer can understand a scene, track motion, or spot objects. This field blends simple image tricks with more advanced learning, providing tools for everyday problems—from photo enhancement to security and quality control. Understanding the basics Image processing works on pixels: color, brightness, and sharpness. Computer vision adds meaning: what is in a picture, where objects are, or how their shapes change over time. The work often starts with simple steps and builds to stronger analysis. ...