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Robust image coding on synthetic DNA: Reducing sequencing noise with inpainting

Abstract : The aggressive growth of digital data threatens to exceed the capacity of conventional storage devices. The need for new means to store digital information has brought great interest in novel solutions as it is DNA, whose biological properties allow the storage of information at a high density and preserve it without any information loss for hundreds of years when stored under specific conditions. Despite being a promising solution, DNA storage faces two major obstacles: the large cost of synthesis and the high error rate introduced during sequencing. While most of the works focus on adding redundancy aiming for effective error correction, this work combines noise resistance to minimize the impact of the errors in the decoded data and post-processing to further improve the quality of the decoding.
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https://hal.archives-ouvertes.fr/hal-03100971
Contributor : Eva Gil San Antonio Connect in order to contact the contributor
Submitted on : Wednesday, January 6, 2021 - 8:25:37 PM
Last modification on : Tuesday, January 4, 2022 - 5:46:09 AM

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  • HAL Id : hal-03100971, version 1

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Eva Gil San Antonio, Mattia Piretti, Melpomeni Dimopoulou, Marc Antonini. Robust image coding on synthetic DNA: Reducing sequencing noise with inpainting. ICPR2020, Jan 2021, Milan (virtual), Italy. ⟨hal-03100971⟩

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