@phdthesis{Werner2022,
  type      = {Bachelor Thesis},
  author    = {Florian Werner},
  title     = {Investigation and implementation of image super-resolution using CNNs applied to OCR},
  doi       = {10.25968/opus-2342},
  url       = {http://nbn-resolving.de/urn:nbn:de:bsz:960-opus4-23425},
  pages     = {92},
  year      = {2022},
  abstract  = {Recent developments in the field of deep learning have shown promising advances for a wide range of historically difficult computer vision problems. Using advanced deep learning techniques, researchers manage to perform high-quality single-image super-resolution, i.e., increasing the resolution of a given image without major losses in image quality, usually encountered when using traditional approaches such as standard interpolation. This thesis examines the process of deep learning super-resolution using convolutional neural networks and investigates whether the same deep learning models can be used to increase OCR results for low-quality text images.},
  language  = {en}
}