Reconnoitering the Essentials of Image and Video Processing: A Comprehensive Overview

Recent years have shown immense potential for image and video processing. Several fields in health, engineering, and science have used them to enhance functioning. In image processing, a number of algorithms and techniques are used to receive inputs in the form of images, such as pictures or video frames, and then produce an output which can either be a photo or a parameter that can be adjusted to enhance the image. When a video is processed, each frame is submitted to operations individually. A frame is a snapshot of the video at a certain point in time. Multiple frames may be taken in one second. Similar to photos, frames may be compared and contrasted based on their similarities and differences. To identify asteroids that could pose a threat and events like supernovae that are temporary, we need to use image processing techniques that work in real-time. Digital images are often compressed using a widely used method called the Discrete Cosine Transform (DCT). By using this technique, you can considerably decrease the size of your file without compromising the quality of the image that is visible to the human eye. Throughout this paper, we have examined several aspects of image and video processing and how they are used in scientific and technical fields.