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Dariusz Puchala
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2020 – today
- 2023
- [c12]Oleksandr Pankiv, Dariusz Puchala:
Neural implementation of non-linear scalar quantization. DCC 2023: 356 - [c11]Kun Tu, Dariusz Puchala:
Permutation coding using divide-and-conquer strategy. DCC 2023: 365 - 2022
- [j5]Kun Tu, Dariusz Puchala:
Variable-to-Variable Huffman Coding: Optimal and Greedy Approaches. Entropy 24(10): 1447 (2022) - [c10]Oleksandr Pankiv, Dariusz Puchala, Kamil Stokfiszewski:
Robust and efficient optimization scheme leading to KL transform. DCC 2022: 1 - 2021
- [j4]Dariusz Puchala:
Approximate calculation of 8-point DCT for various scenarios of practical applications. EURASIP J. Image Video Process. 2021(1): 18 (2021) - [j3]Dariusz Puchala, Kamil Stokfiszewski, Mykhaylo Yatsymirskyy:
Image Statistics Preserving Encrypt-then-Compress Scheme Dedicated for JPEG Compression Standard. Entropy 23(4): 421 (2021) - [c9]Dariusz Puchala, Kamil Stokfiszewski:
Convolutional Neural Network for Image Compression with Application to JPEG Standard. DCC 2021: 361 - [c8]Dariusz Puchala, Kamil Stokfiszewski:
Highly Effective GPU Realization of Discrete Wavelet Transform for Big-Data Problems. ICCS (1) 2021: 213-227 - 2020
- [c7]Dariusz Puchala, Kamil Stokfiszewski, Mykhaylo Yatsymirskyy:
Encryption Before Compression Coding Scheme for JPEG Image Compression Standard. DCC 2020: 313-322
2010 – 2019
- 2018
- [j2]Dariusz Puchala, Kamil Stokfiszewski:
Numerical accuracy of integral images computation algorithms. IET Image Process. 12(1): 31-41 (2018) - [c6]Dariusz Puchala, Kamil Stokfiszewski:
GPU Accelerated Image Binarization Based on First and Second Order Integral Images. CSIT (1) 2018: 404-407 - [c5]Kamil Stokfiszewski, Dariusz Puchala, Mykhaylo Yatsymirskyy:
Effectiveness of GPU Realizations of Parallel Prefix-Sums Computation Algorithms. CSIT (1) 2018: 436-439 - [c4]Dariusz Puchala, Kamil Stokfiszewski, Kamil Wieloch, Mykhaylo Yatsymirskyy:
Comparative Study of Massively Parallel GPU Realizations of Wavelet Transform Computation with Lattice Structure and Matrix-Based Approach. DSMP 2018: 88-93 - 2017
- [c3]Dariusz Puchala:
The class of involutory parametric orthogonal transforms of cosine-Walsh type. CSIT (1) 2017: 348-351 - 2015
- [c2]Dariusz Puchala, Bartomiej Szczepaniak, Mykhaylo Yatsymirskyy:
Effective Realizations of Biorthogonal Wavelet Transforms of Lengths 2K + 1/2K - 1 with Lattice Structures on GPU and CPU. IDEAL 2015: 130-137 - 2013
- [j1]Dariusz Puchala:
Approximating the KLT by Maximizing the Sum of Fourth-Order Moments. IEEE Signal Process. Lett. 20(3): 193-196 (2013)
2000 – 2009
- 2008
- [c1]Dariusz Puchala, Mykhaylo Yatsymirskyy:
Neural Network in Fast Adaptive Fourier Descriptor Based Leaves Classification. ICAISC 2008: 135-145 - [p1]Dariusz Puchala, Mykhaylo Yatsymirskyy:
Fast Adaptive Fourier Transform for Fourier Descriptor Based Contour Classification. Computer Recognition Systems 2 2008: 378-385
Coauthor Index
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