Impact of compression ratio on reconstruction quality in coded aperture compressive temporal imaging

Snapshot compressive imaging (SCI), represented by coded aperture compressive temporal imaging (CACTI), has made rapid progress in the high-speed scene capture domain. CACTI modulates continuous high-speed scenes on the digital micromirror device (DMD) using various masks, followed by the compression acquisition (continuous exposure) of encoded frames onto a sensor. Subsequently, high-speed scenes are reconstructed with mask information. We designate the compression ratio between the actual data, which is acquired and stored during the collection of high-speed scenes using CACTI, and the original data as the compression ratio. However, capturing high-speed scene information implies the acquisition of a greater amount of data, and under the constraint of constant optical channel capacity, the compression ratio impacts the reconstruction quality. In this paper, we simulate the reconstruction quality of CACTI with different noise and different compression ratios, and optimize the optimal compression ratio to guide CACTI imaging.