94 citations · 155 across the 12 of their papers we have counts for
7 papers · 1 filter
Fast Reconstruction of Three-Quarter Sampling Measurements Using Recurrent Local Joint Sparse Deconvolution and Extrapolation
Simon Grosche, Andy Regensky, Alexander Sinn +2
Recently, non-regular three-quarter sampling has shown to deliver an increased image quality of image sensors by using differently oriented L-shaped pixels compared to the same num…
Novel Consistency Check For Fast Recursive Reconstruction Of Non-Regularly Sampled Video Data
Simon Grosche, Jürgen Seiler, André Kaup
Quarter sampling is a novel sensor design that allows for an acquisition of higher resolution images without increasing the number of pixels. When being used for video data, one ou…
A Novel End-To-End Network for Reconstruction of Non-Regularly Sampled Image Data Using Locally Fully Connected Layers
Simon Grosche, Fabian Brand, André Kaup
Quarter sampling and three-quarter sampling are novel sensor concepts that enable the acquisition of higher resolution images without increasing the number of pixels. This is achie…
Enhanced Image Reconstruction From Quarter Sampling Measurements Using An Adapted Very Deep Super Resolution Network
Simon Grosche, Kristian Fischer, Fabian Brand +2
Quarter sampling is a novel sensor concept that enables the acquisition of higher resolution images without increasing the number of pixels. This is achieved by covering three quar…
Design Techniques for Incremental Non-Regular Image Sampling Patterns
Simon Grosche, Jürgen Seiler, André Kaup
Even though image signals are typically acquired on a regular two dimensional grid, there exist many scenarios where non-regular sampling is possible. Non-regular sampling can remo…
Iterative Optimization of Quarter Sampling Masks for Non-Regular Sampling Sensors
Simon Grosche, Jürgen Seiler, André Kaup
Non-regular sampling can reduce aliasing at the expense of noise. Recently, it has been shown that non-regular sampling can be carried out using a conventional regular imaging sens…
Real-Time Frequency Selective Reconstruction through Register-Based Argmax Calculation
Andy Regensky, Simon Grosche, Jürgen Seiler +1
Frequency Selective Reconstruction (FSR) is a state-of-the-art algorithm for solving diverse image reconstruction tasks, where a subset of pixel values in the image is missing. How…