TY  - THES
U1  - Bachelor Thesis
A1  - Werner, Florian
T1  - Investigation and implementation of image super-resolution using CNNs applied to OCR
N2  - 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.
KW  - Super Resolution
KW  - Deep learning
KW  - Neuronales Netz
KW  - Maschinelles Sehen
KW  - Optische Zeichenerkennung
Y2  - 2022
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:960-opus4-23425
U6  - https://doi.org/10.25968/opus-2342
DO  - https://doi.org/10.25968/opus-2342
SP  - 92
S1  - 92
ER  -