45 citations · 79 across the 10 of their papers we have counts for
11 papers
Centroid adapted frequency selective extrapolation for reconstruction of lost image areas
Wolfgang Schnurrer, Markus Jonscher, Jürgen Seiler +3
Lost image areas with different size and arbitrary shape can occur in many scenarios such as error-prone communication, depth-based image rendering or motion compensated wavelet li…
Motion-Adapted Three-Dimensional Frequency Selective Extrapolation
Andreas Spruck, Markus Jonscher, JÜrgen Seiler +1
It has been shown, that high resolution images can be acquired using a low resolution sensor with non-regular sampling. Therefore, post-processing is necessary. In terms of video d…
Resampling Images to a Regular Grid from a Non-Regular Subset of Pixel Positions Using Frequency Selective Reconstruction
Jürgen Seiler, Markus Jonscher, Michael Schöberl +1
Even though image signals are typically defined on a regular two-dimensional grid, there also exist many scenarios where this is not the case and the amplitude of the image signal…
Increasing Imaging Resolution by Non-Regular Sampling and Joint Sparse Deconvolution and Extrapolation
Jürgen Seiler, Markus Jonscher, Thomas Ussmueller +1
Increasing the resolution of image sensors has been a never ending struggle since many years. In this paper, we propose a novel image sensor layout which allows for the acquisition…
Declipping of Speech Signals Using Frequency Selective Extrapolation
Markus Jonscher, Jürgen Seiler, André Kaup
The reconstruction of clipped speech signals is an important task in audio signal processing to achieve an enhanced audio quality for further processing. In this paper, Frequency S…
Reconstruction of images taken by a pair of non-regular sampling sensors using correlation based matching
Markus Jonscher, Jürgen Seiler, Thomas Richter +2
Multi-view image acquisition systems with two or more cameras can be rather costly due to the number of high resolution image sensors that are required. Recently, it has been shown…
Reducing Randomness of Non-Regular Sampling Masks for Image Reconstruction
Markus Jonscher, Jürgen Seiler, Thomas Richter +1
Increasing spatial image resolution is an often required, yet challenging task in image acquisition. Recently, it has been shown that it is possible to obtain a high resolution ima…
Reconstruction of Videos Taken by a Non-Regular Sampling Sensor
Markus Jonscher, Jürgen Seiler, Michel Bätz +3
Recently, it has been shown that a high resolution image can be obtained without the usage of a high resolution sensor. The main idea has been that a low resolution sensor is cover…
Recursive Frequency Selective Reconstruction of Non-Regularly Sampled Video Data
Markus Jonscher, Karina Jaskolka, Jürgen Seiler +1
High resolution images can be acquired using a non-regular sampling sensor which consists of an underlying low resolution sensor that is covered with a non-regular sampling mask. T…
Dynamic Non-Regular Sampling Sensor Using Frequency Selective Reconstruction
Markus Jonscher, Jürgen Seiler, Daniela Lanz +3
Both a high spatial and a high temporal resolution of images and videos are desirable in many applications such as entertainment systems, monitoring manufacturing processes, or vid…
Texture-Dependent Frequency Selective Reconstruction of Non-Regularly Sampled Images
Markus Jonscher, Jürgen Seiler, André Kaup
There exist many scenarios where pixel information is available only on a non-regular subset of pixel positions. For further processing, however, it is required to reconstruct such…