123 citations · 140 across the 10 of their papers we have counts for
12 papers
X3: Lossless Data Compressor
David Barina
X3 is a lossless optimizing dictionary-based data compressor. The algorithm uses a combination of a dictionary, context modeling, and arithmetic coding. Optimization adds the abili…
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.…
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…
: Close Relative of Collatz Problem
David Barina
We show an iterated function of which iterates oscillate wildly and grow at a dizzying pace. We conjecture that the orbit of arbitrary positive integer always returns to 1, as in t…
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…
New Transforms for JPEG Format
Stanislav Svoboda, David Barina
The two-dimensional discrete cosine transform (DCT) can be found in the heart of many image compression algorithms. Specifically, the JPEG format uses a lossy form of compression b…
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…
Gabor Wavelets in Image Processing
David Barina
This work shows the use of a two-dimensional Gabor wavelets in image processing. Convolution with such a two-dimensional wavelet can be separated into two series of one-dimensional…