Bildverbesserungsalgorithmen
Bildverbesserung, commonly translated as image enhancement, is a field within image processing focused on increasing the perceptual quality of digital images. The objective is to make details clearer, reduce noise and blur, correct color and exposure, and generally render images more faithful to the captured scene or more suitable for downstream tasks. Enhancement does not introduce new scene content beyond what is supported by the data, though it may emphasize textures or adjust tonal relationships for readability.
Techniques span traditional signal processing and modern machine learning. Classic methods include denoising (for example non-local
Applications appear across photography, film restoration, medical and satellite imaging, surveillance, and consumer apps that automate
Common tools range from commercial software such as Photoshop and GIMP to open-source libraries like OpenCV