Markus Jonscher
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View article: Centroid adapted frequency selective extrapolation for reconstruction of lost image areas
Centroid adapted frequency selective extrapolation for reconstruction of lost image areas Open
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 lifting. The goal of image reconstruction is to restore these…
View article: Motion-Adapted Three-Dimensional Frequency Selective Extrapolation
Motion-Adapted Three-Dimensional Frequency Selective Extrapolation Open
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 data, not only the spatial neighborhood can be used to assis…
View article: Declipping of Speech Signals Using Frequency Selective Extrapolation
Declipping of Speech Signals Using Frequency Selective Extrapolation Open
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 Selective Extrapolation (FSE), which is commonly used for er…
View article: Dynamic Non-Regular Sampling Sensor Using Frequency Selective Reconstruction
Dynamic Non-Regular Sampling Sensor Using Frequency Selective Reconstruction Open
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 video surveillance. Due to the limited throughput of pixels p…
View article: Increasing Imaging Resolution by Non-Regular Sampling and Joint Sparse Deconvolution and Extrapolation
Increasing Imaging Resolution by Non-Regular Sampling and Joint Sparse Deconvolution and Extrapolation Open
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 of images at a higher resolution and improved quality. For…
View article: Demonstration of rapid frequency selective reconstruction for image resolution enhancement
Demonstration of rapid frequency selective reconstruction for image resolution enhancement Open
Poster Presentation at the SVCP 2018
View article: Recursive frequency selective reconstruction of non-regularly sampled video data
Recursive frequency selective reconstruction of non-regularly sampled video data Open
High resolution images can be acquired using a non-regular sampling sensor\nwhich consists of an underlying low resolution sensor that is covered with a\nnon-regular sampling mask. The reconstructed high resolution image is then\nobtained …
View article: Texture-dependent frequency selective reconstruction of non-regularly sampled images
Texture-dependent frequency selective reconstruction of non-regularly sampled images Open
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 images on a regular grid. Besides many other algorithms, f…
View article: Reconstruction of videos taken by a non-regular sampling sensor
Reconstruction of videos taken by a non-regular sampling sensor Open
Recently, it has been shown that a high resolution image can be obtained\nwithout the usage of a high resolution sensor. The main idea has been that a\nlow resolution sensor is covered with a non-regular sampling mask followed by a\nrecons…
View article: Resampling Images to a Regular Grid From a Non-Regular Subset of Pixel Positions Using Frequency Selective Reconstruction
Resampling Images to a Regular Grid From a Non-Regular Subset of Pixel Positions Using Frequency Selective Reconstruction Open
Even though image signals are typically defined on a regular 2D grid, there also exist many scenarios where this is not the case and the amplitude of the image signal only is available for a non-regular subset of pixel positions. In such a…