HL-DNA: A Hybrid Lossy/Lossless Encoding Scheme to Enhance DNA Storage Density and Robustness for Images

Yi Li, David H.C. Du, Li Ou, Bingzhe Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

With the storage's demand for high density and long-term preservation, Deoxyribonucleic Acid (DNA) has become a promising candidate to satisfy the requirement of archival storage for rapidly increased digital volume. However, due to the biochemical constraints, DNA storage faces critical issues of low practical capacity and robustness. In this paper, we target image applications and propose to apply approximation to DNA storage to improve the overall encoding density and robustness of DNA storage by using a hybrid lossy and lossless encoding scheme (called HL-DNA). Several lossy and lossless encoding schemes (lossy and lossless codes) are proposed and used to encode incoming binary sequences. These two types of codes are coordinated to balance the encoding density and errors. The lossless codes are used to limit the errors and the lossy codes are used to improve the encoding density. Moreover, the introduced approximation and newly proposed hybrid encoding schemes in one DNA strand can improve the robustness of DNA storage. Finally, the experimental results indicate that the proposed HL-DNA improves the encoding density of DNA storage and makes it much close to the ideal case. Also, HL-DNA achieves higher robustness to the injected errors than other DNA storage codes.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE 40th International Conference on Computer Design, ICCD 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages434-442
Number of pages9
ISBN (Electronic)9781665461863
DOIs
StatePublished - 2022
Event40th IEEE International Conference on Computer Design, ICCD 2022 - Olympic Valley, United States
Duration: Oct 23 2022Oct 26 2022

Publication series

NameProceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors
Volume2022-October
ISSN (Print)1063-6404

Conference

Conference40th IEEE International Conference on Computer Design, ICCD 2022
Country/TerritoryUnited States
CityOlympic Valley
Period10/23/2210/26/22

Bibliographical note

Funding Information:
1This work was partially supported by NSF I/UCRC Center Research in Intelligent Storage and the following NSF awards 2208317, 2204656, and 2204657.

Funding Information:
This work was partially supported by NSF I/UCRC Center Research in Intelligent Storage and the following NSF awards 2208317, 2204656, and 2204657. Any opinions, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Approximation
  • DNA Storage
  • Encoding density

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