Evaluation of Convolutional Neural Networks for Image Quality Classification based on Synthetic Data
In camera production the image quality is of utter importance. Several tests during the production ensure this high quality. In this thesis the possibility of creating a final test, that classifies the image quality with the help of machine learning, specifically convolutional neural networks, was investigated. The data used was made up of synthetic, simulated images with commonly observed quality