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ŠIMEČEK, V.; MIHÁLIK, O.
Original Title
Compression Techniques for 4D STEM Data in Electron Microscopy
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
This paper explores compression techniques for 4D scanning transmission electron microscopy (STEM) data, aiming to find an optimal, use-case-independent compression approach. Standard image compression methods, including JPEG, PNG, and JPEG2000, are assessed and compared due to their ability to preserve the structural characteristics of the data. Additionally, a method based on Slepian two-dimensional sequences is proposed. It is conceptually similar to JPEG. The methods are evaluated based on compression ratio and data fidelity to identify an optimal format that maximizes data memory demands while minimizing information loss.
English abstract
Keywords
data compression, diffraction, DPSS, electronmicroscopy, image compression, Slepian sequences
Key words in English
Authors
Released
29.04.2025
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication
Location
Brno, Czechia
ISBN
978-80-214-6321-9
Book
Proceedings I of the 31st Conference STUDENT EEICT 2025: General papers
Edition
1
Pages from
91
Pages to
94
Pages count
4
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf
BibTex
@inproceedings{BUT197779, author="Vít {Šimeček} and Ondrej {Mihálik}", title="Compression Techniques for 4D STEM Data in Electron Microscopy", booktitle="Proceedings I of the 31st Conference STUDENT EEICT 2025: General papers", year="2025", series="1", number="1", pages="91--94", publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication", address="Brno, Czechia", isbn="978-80-214-6321-9", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf" }
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