Superauflösungsverfahren
Superauflösungsverfahren, also known as super-resolution techniques, are a class of methods used in digital image processing to enhance the resolution of an image beyond its original captured detail. Essentially, these techniques aim to reconstruct a high-resolution (HR) image from one or more low-resolution (LR) images. This is achieved by exploiting the fact that the LR images, even if they appear blurry or less detailed, contain some underlying information that can be leveraged to infer finer details.
There are broadly two main categories of super-resolution techniques: single-image super-resolution (SISR) and multi-image super-resolution (MISR).
MISR, on the other hand, utilizes information from multiple LR images of the same scene, often captured