As global data volume explodes, traditional storage systems face multiple challenges, including the lack of resources and low cost-efficient. Deoxyribonucleic acid (DNA) has attracted researchers’ attention to address these issues with its high storage density, low maintenance cost, and extremely long shelf life. Specifically, DNA is also environmentally friendly compared to traditional disk storage because the disk is non-degradable. In this paper, we propose a strategy for image coding and storage. We first design the length and format of the DNA oligo for the implementation of a storage system. Then we improve on the LT codes by optimizing the creation of seeds and turning screening into a dynamic context-based DNA bases mapping, which helps to reduce complexity. Last but not least, we design a voting mechanism to achieve the error correction function for robustness. The experimental results show high compression efficiency while achieving several strict biological constraints, such as GC-content balance and homopolymer control.