Compressive Spectral Video Acquisition with Double-channel Complementary Coded Aperture

Danhua Liu; Huan Li; Guo Li; Dahua Gao; Guangming Shi

doi:10.1117/12.2071680

31 October 2014 Compressive spectral video acquisition with double-channel complementary coded aperture

Danhua Liu, Huan Li, Guo Li, Dahua Gao, Guangming Shi

Proceedings Volume 9273, Optoelectronic Imaging and Multimedia Technology III; 927333 (2014) https://doi.org/10.1117/12.2071680
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

Spectral video is crucial for monitoring of dynamic scenes, reconnaissance of moving targets, observation and tracking of living cells, etc. The traditional spectral imaging methods need multiple exposures to capture a full frame spectral image, which leads to a low temporal resolution and thus lose their value as spectral video. The new code aperture snapshot spectral imaging (CASSI) method has been emerging in recent years, which is suitable for spectral video acquisition, due to its high-speed snapshot and few-amount measurements. Based on the CASSI, this paper proposes a compressive spectral video acquisition method with double-channel complementary coded aperture. The method can achieve the spectral video with a high temporal resolution by directly sampling the 3D spectral scene with 2D array sensor in only one snapshot. Furthermore, by using the double-channel complementary coded aperture in compressive measurement and the sparse regularity in the optimization recovery together, we can obtain the higher PSNR and better visual effects compared with the single-channel CASSI. Simulation results demonstrate the efficacy of the proposed method.

Citation Download Citation

Danhua Liu, Huan Li, Guo Li, Dahua Gao, and Guangming Shi "Compressive spectral video acquisition with double-channel complementary coded aperture", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 927333 (31 October 2014); https://doi.org/10.1117/12.2071680

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KEYWORDS

Video

Coded apertures

Imaging spectroscopy

Image quality

Image restoration

Temporal resolution

Video compression

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