123 citations · 328 across the 9 of their papers we have counts for
8 papers · 1 filter
The Parallel Algorithm for the 2-D Discrete Wavelet Transform
David Barina, Pavel Najman, Petr Kleparnik +2
The discrete wavelet transform can be found at the heart of many image-processing algorithms. Until now, the transform on general-purpose processors (CPUs) was mostly computed usin…
Accelerating Discrete Wavelet Transforms on GPUs
David Barina, Michal Kula, Michal Matysek +1
The two-dimensional discrete wavelet transform has a huge number of applications in image-processing techniques. Until now, several papers compared the performance of such transfor…
Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement
Jakub Sochor, Roman Juránek, Jakub Špaňhel +4
In this paper, we focus on traffic camera calibration and a visual speed measurement from a single monocular camera, which is an important task of visual traffic surveillance. Exis…
Camera Pose Estimation from Lines using Plücker Coordinates
Bronislav Přibyl, Pavel Zemčík, Martin Čadík
Correspondences between 3D lines and their 2D images captured by a camera are often used to determine position and orientation of the camera in space. In this work, we propose a no…
Absolute Pose Estimation from Line Correspondences using Direct Linear Transformation
Bronislav Přibyl, Pavel Zemčík, Martin Čadík
This work is concerned with camera pose estimation from correspondences of 3D/2D lines, i. e. with the Perspective-n-Line (PnL) problem. We focus on large line sets, which can be e…
Compression Artifacts Removal Using Convolutional Neural Networks
Pavel Svoboda, Michal Hradis, David Barina +1
This paper shows that it is possible to train large and deep convolutional neural networks (CNN) for JPEG compression artifacts reduction, and that such networks can provide signif…
Parallel Wavelet Schemes for Images
David Barina, Michal Kula, Pavel Zemcik
In this paper, we introduce several new schemes for calculation of discrete wavelet transforms of images. These schemes reduce the number of steps and, as a consequence, allow to r…
CNN for License Plate Motion Deblurring
Pavel Svoboda, Michal Hradis, Lukas Marsik +1
In this work we explore the previously proposed approach of direct blind deconvolution and denoising with convolutional neural networks in a situation where the blur kernels are pa…