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

被引:1
作者
San Antonio, Eva Gil [1 ]
Piretti, Mattia [1 ]
Dimopoulou, Melpomeni [1 ]
Antonini, Marc [1 ]
机构
[1] Univ Cote dAzur, Lab I3S, CNRS, Sophia Antipolis, France
来源
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) | 2021年
关键词
Image coding; DNA; barcode; inpainting; sequencing; INFORMATION; STORAGE;
D O I
10.1109/ICPR48806.2021.9411920
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:9859 / 9865
页数:7
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