54 citations · 338 across the 48 of their papers we have counts for
10 papers · 1 filter
Synthesizing Annotated Image and Video Data Using a Rendering-Based Pipeline for Improved License Plate Recognition
Andreas Spruck, Maximilane Gruber, Anatol Maier +4
An insufficient number of training samples is a common problem in neural network applications. While data augmentation methods require at least a minimum number of samples, we prop…
3D Rendering Framework for Data Augmentation in Optical Character Recognition
Andreas Spruck, Maximiliane Hawesch, Anatol Maier +3
In this paper, we propose a data augmentation framework for Optical Character Recognition (OCR). The proposed framework is able to synthesize new viewing angles and illumination sc…
Scalable Kernel-Based Minimum Mean Square Error Estimator for Accelerated Image Error Concealment
Ján Koloda, Jürgen Seiler, Antonio M. Peinado +1
Error concealment is of great importance for block-based video systems, such as DVB or video streaming services. In this paper, we propose a novel scalable spatial error concealmen…
Denoising-based image reconstruction from pixels located at non-integer positions
Ján Koloda, Jürgen Seiler, André Kaup
Digital images are commonly represented as regular 2D arrays, so pixels are organized in form of a matrix addressed by integers. However, there are many image processing operations…
Reliability-based Mesh-to-Grid Image Reconstruction
Ján Koloda, Jürgen Seiler, André Kaup
This paper presents a novel method for the reconstruction of images from samples located at non-integer positions, called mesh. This is a common scenario for many image processing…
Frequency selective extrapolation with residual filtering for image error concealment
Ján Koloda, Jürgen Seiler, André Kaup +2
The purpose of signal extrapolation is to estimate unknown signal parts from known samples. This task is especially important for error concealment in image and video communication…