Compression Techniques for 4D STEM data in Electron Microscopy
| but.event.date | 29.04.2025 | cs |
| but.event.title | STUDENT EEICT 2025 | cs |
| dc.contributor.author | Šimeček, Vít | |
| dc.contributor.author | Mihálik, Ondrej | |
| dc.date.accessioned | 2025-07-30T10:00:54Z | |
| dc.date.available | 2025-07-30T10:00:54Z | |
| dc.date.issued | 2025 | cs |
| dc.description.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. | en |
| dc.format | text | cs |
| dc.format.extent | 91-94 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Proceedings I of the 31st Conference STUDENT EEICT 2025: General papers. s. 91-94. ISBN 978-80-214-6321-9 | cs |
| dc.identifier.isbn | 978-80-214-6321-9 | |
| dc.identifier.uri | https://hdl.handle.net/11012/255251 | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.relation.ispartof | Proceedings I of the 31st Conference STUDENT EEICT 2025: General papers | en |
| dc.relation.uri | https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf | cs |
| dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.rights.access | openAccess | en |
| dc.subject | data compression | en |
| dc.subject | diffraction | en |
| dc.subject | DPSS | en |
| dc.subject | electron microscopy | en |
| dc.subject | image compression | en |
| dc.subject | Slepian sequences | en |
| dc.title | Compression Techniques for 4D STEM data in Electron Microscopy | en |
| dc.type.driver | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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