2 citations · 3 across the 3 of their papers we have counts for
7 papers
Evaluation of 4D Light Field Compression Methods
David Barina, Tomas Chlubna, Marek Solony +2
Light field data records the amount of light at multiple points in space, captured e.g. by an array of cameras or by a light-field camera that uses microlenses. Since the storage a…
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…
Simple Signal Extension Method for Discrete Wavelet Transform
David Barina, Pavel Zemcik, Michal Kula
Discrete wavelet transform of finite-length signals must necessarily handle the signal boundaries. The state-of-the-art approaches treat such boundaries in a complicated and inflex…
Accelerating Discrete Wavelet Transforms on Parallel Architectures
David Barina, Michal Kula, Michal Matysek +1
The 2-D discrete wavelet transform (DWT) can be found in the heart of many image-processing algorithms. Until recently, several studies have compared the performance of such transf…
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…
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…