Coded aperture compressive temporal imaging in low light level environments

Liying Ren; Ji Shen; Tianyi Mao; Zhonghua Shen; Shujin Zhu

doi:10.1117/12.2619467

27 March 2022 Coded aperture compressive temporal imaging in low light level environments

Liying Ren, Ji Shen, Tianyi Mao, Zhonghua Shen, Shujin Zhu

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 1216904 (2022) https://doi.org/10.1117/12.2619467
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

Photon-limited coded aperture compressive temporal imaging (PL-CACTI) is proposed and analyzed in this manuscript to alleviate the tradeoff between the exposure time and frame rate. Multiple high-speed frames modulated by coded apertures in low-light-level (LLL) environments are down-sampled by a high-sensitivity camera with low frame rates. Compressive sensing (CS) is used to reconstructed the high-speed images from the multiplexed measurements. In this manuscript, four data sets with 20fps videos are used at different compression ratios (Cr) to demonstrate the performance of PL-CACTI. Peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) of the images reconstructed from a set of blurred coded projections are analyzed. A mixture model for LLL measurements with Poisson noise and Gaussian noise is simulated with a 25fps LLL camera where the data sets are captured by a high-speed camera at 100fps and 200fps models, respectively. Results of simulated data sets and real data sets show that CACTI performs well in the photon limited conditions where the PSNRs are more than 25dB and SSIMs are more than 0.8. Therefore, PL-CACTI is an alternative approach to realize high-speed imaging in LLL environments subject.

Citation Download Citation

Liying Ren, Ji Shen, Tianyi Mao, Zhonghua Shen, and Shujin Zhu "Coded aperture compressive temporal imaging in low light level environments", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 1216904 (27 March 2022); https://doi.org/10.1117/12.2619467

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