DNA coding for image storage using image compression techniques

Dimopoulou, Melpomeni; Antonini, Marc; Barbry, Pascal; Appuswamy, Raja
CORESA 2018, 20emes journées d'étude et d'échange sur la COmpression et la REprésentation des Signaux Audiovisuels, 12-14 novembre 2018, Poitiers, France

Best Paper Award

Living in the age of the digital media explosion the urge for finding new efficient methods of data storage increases significantly. Existing storage devices such as hard disks, flash, tape or even optical storage have limited durability in the range of 5 to 20 years. Recent studies have proven that the method of DNA data storage introduces a strong candidate to achieve data longevity. The DNA's biological properties permit the compression of a great amount of information into an extraordinary small volume while also promising efficient data storage for millions of years with no loss of information. This work proposes a new encoding scheme especially designed for the encoding of still images, extending the existing algorithms of DNA data storage by introducing image compression techniques.


HAL
Type:
Conference
City:
Poitiers
Date:
2018-11-12
Department:
Data Science
Eurecom Ref:
5788
Copyright:
Copyright CORESA. Personal use of this material is permitted. The definitive version of this paper was published in CORESA 2018, 20emes journées d'étude et d'échange sur la COmpression et la REprésentation des Signaux Audiovisuels, 12-14 novembre 2018, Poitiers, France and is available at :
See also:

PERMALINK : https://www.eurecom.fr/publication/5788