Autonomous vehicles are equipped with a multi-modal sensor setup to enab...
Capturing large fields of view with only one camera is an important aspe...
The rise of variational autoencoders for image and video compression has...
An insufficient number of training samples is a common problem in neural...
In this paper, we propose a data augmentation framework for Optical Char...
Forensic license plate recognition (FLPR) remains an open challenge in l...
The prediction step is a very important part of hybrid video codecs for
...
Although wireless and IP-based access to video content gives a new degre...
Error concealment is of great importance for block-based video systems, ...
Digital images are commonly represented as regular 2D arrays, so pixels ...
This paper presents a novel method for the reconstruction of images from...
The purpose of signal extrapolation is to estimate unknown signal parts ...
The reconstruction of clipped speech signals is an important task in aud...
Quarter sampling is a novel sensor design that allows for an acquisition...
Motion compensated inter prediction is a common component of all video
c...
For modern high-resolution imaging sensors, pixel binning is performed i...
We consider an online version of the robust Principle Component Analysis...
This work considers reconstructing a target signal in a context of
distr...
A concept for a novel CMOS image sensor suited for analog image
pre-proc...