Digitalbildverarbeitung

Digitalbildverarbeitung, also known as digital image processing, is a field that deals with manipulating digital images using computer algorithms. Its primary goal is to extract useful information from images or to enhance them for better human perception. This involves a wide range of techniques applied to digital images, which are essentially a grid of pixels, each with a specific color or intensity value.

The process typically begins with image acquisition, where an image is captured by a sensor like a camera. This is followed by preprocessing steps, which aim to improve the image quality by removing noise, correcting distortions, or adjusting contrast and brightness. Image enhancement is another key area, focusing on making certain features more prominent or the image more visually appealing.

Furthermore, digitalbildverarbeitung encompasses image analysis, where algorithms are used to understand the content of an image. This can include tasks like object detection, segmentation (dividing an image into meaningful regions), and feature extraction. Image restoration is concerned with recovering degraded images, while image compression aims to reduce the storage space required for an image without significant loss of quality. Applications of digitalbildverarbeitung are diverse, spanning fields such as medical imaging, remote sensing, computer vision, and photography.