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View article: Conditional Optimal Filter Selection for Multispectral Object Classification
Conditional Optimal Filter Selection for Multispectral Object Classification Open
Capturing images using multispectral camera arrays has gained importance in medical, agricultural and environmental processes. However, using all available spectral bands is infeasible and produces much data, while only a fraction is neede…
View article: Fast Edge-Aware Occlusion Detection in the Context of Multispectral Camera Arrays
Fast Edge-Aware Occlusion Detection in the Context of Multispectral Camera Arrays Open
Multispectral imaging is very beneficial in diverse applications, like healthcare and agriculture, since it can capture absorption bands of molecules in different spectral areas. A promising approach for multispectral snapshot imaging are …
View article: A Guided Upsampling Network for Short Wave Infrared Images Using Graph Regularization
A Guided Upsampling Network for Short Wave Infrared Images Using Graph Regularization Open
Exploiting the infrared area of the spectrum for classification problems is getting increasingly popular, because many materials have characteristic absorption bands in this area. However, sensors in the short wave infrared (SWIR) area and…
View article: Conditional Residual Coding: A Remedy for Bottleneck Problems in Conditional Inter Frame Coding
Conditional Residual Coding: A Remedy for Bottleneck Problems in Conditional Inter Frame Coding Open
Conditional coding is a new video coding paradigm enabled by neural-network-based compression. It can be shown that conditional coding is in theory better than the traditional residual coding, which is widely used in video compression stan…
View article: RGB-Guided Resolution Enhancement of IR Images
RGB-Guided Resolution Enhancement of IR Images Open
This paper introduces a novel method for RGB-Guided Resolution Enhancement of\ninfrared (IR) images called Guided IR Resolution Enhancement (GIRRE). In the\narea of single image super resolution (SISR) there exists a wide variety of\nalgor…
View article: End-to-End Lidar-Camera Self-Calibration for Autonomous Vehicles
End-to-End Lidar-Camera Self-Calibration for Autonomous Vehicles Open
Autonomous vehicles are equipped with a multi-modal sensor setup to enable the car to drive safely. The initial calibration of such perception sensors is a highly matured topic and is routinely done in an automated factory environment. How…
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: A hybrid motion estimation technique for fisheye video sequences based on equisolid re-projection
A hybrid motion estimation technique for fisheye video sequences based on equisolid re-projection Open
Capturing large fields of view with only one camera is an important aspect in surveillance and automotive applications, but the wide-angle fisheye imagery thus obtained exhibits very special characteristics that may not be very well suited…
View article: Optimal Filter Selection for Multispectral Object Classification Using Fast Binary Search
Optimal Filter Selection for Multispectral Object Classification Using Fast Binary Search Open
When designing multispectral imaging systems for classifying different spectra it is necessary to choose a small number of filters from a set with several hundred different ones. Tackling this problem by full search leads to a tremendous n…
View article: Forensic License Plate Recognition with Compression-Informed Transformers
Forensic License Plate Recognition with Compression-Informed Transformers Open
Forensic license plate recognition (FLPR) remains an open challenge in legal contexts such as criminal investigations, where unreadable license plates (LPs) need to be deciphered from highly compressed and/or low resolution footage, e.g., …
View article: Optimized processing order for 3D hole filling in video sequences using frequency selective extrapolation
Optimized processing order for 3D hole filling in video sequences using frequency selective extrapolation Open
A problem often arising in video communication is the reconstruction of missing or distorted areas in a video sequence. Such holes of unavailable pixels may be caused for example by transmission errors of coded video data or undesired obje…
View article: Adaptive joint spatio-temporal error concealment for video communication
Adaptive joint spatio-temporal error concealment for video communication Open
In the past years, video communication has found its application in an increasing number of environments. Unfortunately, some of them are error-prone and the risk of block losses caused by transmission errors is ubiquitous. To reduce the e…
View article: Content-Adaptive Motion Compensated Frequency Selective Extrapolation for Error Concealment in Video Communication
Content-Adaptive Motion Compensated Frequency Selective Extrapolation for Error Concealment in Video Communication Open
If digital video data is transmitted over unreliable channels such as the internet or wireless terminals, the risk of severe image distortion due to transmission errors is ubiquitous. To cope with this, error concealment can be applied on …
View article: Spatio-temporal error concealment in video by denoised temporal extrapolation refinement
Spatio-temporal error concealment in video by denoised temporal extrapolation refinement Open
In video communication, the concealment of distortions caused by transmission errors is important for allowing for a pleasant visual quality and for reducing error propagation. In this article, Denoised Temporal Extrapolation Refinement is…
View article: Fast orthogonality deficiency compensation for improved frequency selective image extrapolation
Fast orthogonality deficiency compensation for improved frequency selective image extrapolation Open
The purpose of this paper is to introduce a very efficient algorithm for signal extrapolation. It can widely be used in many applications in image and video communication, e. g. for concealment of block errors caused by transmission errors…
View article: Optimized and Parallelized Processing Order for Improved Frequency Selective Signal Extrapolation
Optimized and Parallelized Processing Order for Improved Frequency Selective Signal Extrapolation Open
In the recent years, multi-core processor designs have found their way into many computing devices. To exploit the capabilities of such devices in the best possible way, signal processing algorithms have to be adapted to an operation in pa…
View article: Motion Compensated Frequency Selective Extrapolation for Error Concealment in Video Coding
Motion Compensated Frequency Selective Extrapolation for Error Concealment in Video Coding Open
Although wireless and IP-based access to video content gives a new degree of freedom to the viewers, the risk of severe block losses caused by transmission errors is always present. The purpose of this paper is to present a new method for …
View article: Optimized and Parallelized Processing Order for Improved Frequency\n Selective Signal Extrapolation
Optimized and Parallelized Processing Order for Improved Frequency\n Selective Signal Extrapolation Open
In the recent years, multi-core processor designs have found their way into\nmany computing devices. To exploit the capabilities of such devices in the best\npossible way, signal processing algorithms have to be adapted to an operation\nin…
View article: Distributed Parallel Image Signal Extrapolation Framework using Message Passing Interface
Distributed Parallel Image Signal Extrapolation Framework using Message Passing Interface Open
This paper introduces a framework for distributed parallel image signal extrapolation. Since high-quality image signal processing often comes along with a high computational complexity, a parallel execution is desirable. The proposed frame…
View article: Fast Reconstruction of Three-Quarter Sampling Measurements Using Recurrent Local Joint Sparse Deconvolution and Extrapolation
Fast Reconstruction of Three-Quarter Sampling Measurements Using Recurrent Local Joint Sparse Deconvolution and Extrapolation Open
Recently, non-regular three-quarter sampling has shown to deliver an\nincreased image quality of image sensors by using differently oriented L-shaped\npixels compared to the same number of square pixels. A three-quarter sampling\nsensor ca…
View article: Enhanced Image Reconstruction From Quarter Sampling Measurements Using An Adapted Very Deep Super Resolution Network
Enhanced Image Reconstruction From Quarter Sampling Measurements Using An Adapted Very Deep Super Resolution Network Open
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 quarters of each pixel of a low-resolution sensor such that onl…
View article: A Python-based laboratory course for image and video signal processing on embedded systems
A Python-based laboratory course for image and video signal processing on embedded systems Open
The usage of embedded systems is omnipresent in our everyday life, e.g., in smartphones, tablets, or automotive devices. These devices are able to deal with challenging image processing tasks like real-time detection of faces or high dynam…
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: Iterative Optimization of Quarter Sampling Masks for Non-Regular Sampling Sensors
Iterative Optimization of Quarter Sampling Masks for Non-Regular Sampling Sensors Open
Non-regular sampling can reduce aliasing at the expense of noise. Recently,\nit has been shown that non-regular sampling can be carried out using a\nconventional regular imaging sensor when the surface of its individual pixels\nis partiall…
View article: Sparse signal recovery with multiple prior information: Algorithm and measurement bounds
Sparse signal recovery with multiple prior information: Algorithm and measurement bounds Open
View article: Compressive Online Robust Principal Component Analysis via <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math> </inline-formula>-<inline-formula> <tex-math notation="LaTeX">$\ell_1$ </tex-math> </inline-formula> Minimization
Compressive Online Robust Principal Component Analysis via - Minimization Open
This paper considers online robust principal component analysis (RPCA) in time-varying decomposition problems such as video foreground-background separation. We propose a compressive online RPCA algorithm that decomposes recursively a sequ…
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: Incorporating Prior Information in Compressive Online Robust Principal Component Analysis
Incorporating Prior Information in Compressive Online Robust Principal Component Analysis Open
We consider an online version of the robust Principle Component Analysis (PCA), which arises naturally in time-varying source separations such as video foreground-background separation. This paper proposes a compressive online robust PCA w…
View article: Scalable Kernel-Based Minimum Mean Square Error Estimator for Accelerated Image Error Concealment
Scalable Kernel-Based Minimum Mean Square Error Estimator for Accelerated Image Error Concealment Open
Error concealment is of great importance for block-based video systems, such as DVB or video streaming services. In this paper, we propose a novel scalable spatial error concealment algorithm that aims at obtaining high quality reconstruct…