activity
20162021
most citedNew Transforms for JPEG Format

3 citations · 6 across the 5 of their papers we have counts for

collaborators

9 papers

eess.IV2021

Comparison of Lossless Image Formats

David Barina

In recent years, a bag with image and video compression formats has been torn. However, most of them are focused on lossy compression and only marginally support the lossless mode.…

eess.IV2019

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…

cs.CV2017

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…

eess.SP20172 cited

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…

cs.PF20171 cited

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…

cs.CV2017

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…