This paper derives optimal spatial scaling and rate control parameters f...
Most learning-based image compression methods lack efficiency for high i...
Screen content images (SCIs) often contain a mix of natural and syntheti...
Autonomous vehicles are equipped with a multi-modal sensor setup to enab...
In recent years, several point cloud geometry compression methods that
u...
With the increasing demand of capturing our environment in three-dimensi...
Learning-based image compression has improved to a level where it can
ou...
In video surveillance as well as automotive applications, so-called fish...
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...
Neural networks are widely used for almost any task of recognizing image...
In this paper, we propose a data augmentation framework for Optical Char...
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 demand for high-resolution point clouds has increased throughout the...
The reconstruction of clipped speech signals is an important task in aud...
Reliable feature point matching is a vital yet challenging process in
fe...
Quarter sampling is a novel sensor design that allows for an acquisition...
Quarter sampling and three-quarter sampling are novel sensor concepts th...
Saliency-driven image and video coding for humans has gained importance ...
Common state-of-the-art video codecs are optimized to deliver a low bitr...
Although fisheye cameras are in high demand in many application areas du...
Inter prediction is one of the key technologies enabling the high compre...
Even though rate-distortion optimization is a crucial part of traditiona...
Motion compensated inter prediction is a common component of all video
c...
For modern high-resolution imaging sensors, pixel binning is performed i...
Capturing ground truth data to benchmark super-resolution (SR) is
challe...
We consider a decomposition method for compressive streaming data in the...
In the context of online Robust Principle Component Analysis (RPCA) for ...
Over the past decades, various super-resolution (SR) techniques have bee...
We consider an online version of the robust Principle Component Analysis...
This work considers reconstructing a target signal in a context of
distr...