P
Pawel Benecki
Researcher at Silesian University of Technology
Publications - 21
Citations - 162
Pawel Benecki is an academic researcher from Silesian University of Technology. The author has contributed to research in topics: Image resolution & Computer science. The author has an hindex of 5, co-authored 15 publications receiving 75 citations.
Papers
More filters
Journal ArticleDOI
Deep Learning for Multiple-Image Super-Resolution
Michal Kawulok,Pawel Benecki,Szymon Piechaczek,Krzysztof Hrynczenko,Daniel Kostrzewa,Jakub Nalepa +5 more
TL;DR: A new approach to combine the advantages of multiple-image fusion with learning the low-to-high resolution mapping using deep networks is introduced, indicating that the proposed framework outperforms the state-of-the-art SR methods.
Journal ArticleDOI
Evaluating super-resolution reconstruction of satellite images
TL;DR: This paper presents their validation framework based on real satellite images acquired at different native resolutions, and elaborate on measuring the reconstruction quality, arguing that this is critical to developing new and tuning the existing SRR methods to adapt them to real-world conditions.
Proceedings ArticleDOI
Evolving imaging model for super-resolution reconstruction
TL;DR: A genetic algorithm is introduced to optimize the SRR hyper-parameters and to discover the actual IM by evolving the kernels exploited in the IM and reported experimental results indicate that this approach outperforms the state of the art for a variety of images, including difficult real-life satellite data.
Proceedings ArticleDOI
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs
TL;DR: In this article, a genetic algorithm for evolving a dynamic thresholding approach that follows a long short-term memory network in an unsupervised anomaly detection system was introduced, which improves the abilities of a detector operating on multi-channel satellite telemetry.
Proceedings ArticleDOI
Deep learning for fast super-resolution reconstruction from multiple images
Michal Kawulok,Pawel Benecki,Krzysztof Hrynczenko,Daniel Kostrzewa,Szymon Piechaczek,Jakub Nalepa,Bogdan Smolka +6 more
TL;DR: This work explores how to exploit CNNs in multiple-image SRR and demonstrates that competitive reconstruction outcome can be obtained within seconds.