Research on the streak tube three-dimensional imaging method based on compressive sensing

Jingya Cao; Shaokun Han; Fei Liu; Yu Zhai; Wenze Xia

doi:10.1117/1.OE.57.8.083101

11 August 2018 Research on the streak tube three-dimensional imaging method based on compressive sensing

Jingya Cao, Shaokun Han, Fei Liu, Yu Zhai, Wenze Xia

Author Affiliations +

Optical Engineering, Vol. 57, Issue 8, 083101 (August 2018). https://doi.org/10.1117/1.OE.57.8.083101

Abstract

Streak tube imaging lidar has been widely applied in target recognition and imaging because of its high accuracy and frame rate. Compressed ultrafast photography technique employs a digital micromirror device (DMD) and a streak camera. It is developed to satisfy the requirements of imaging of ultrafast processes. The concept of structure provides a new direction for three-dimensional (3-D) imaging. This paper studies the streak tube 3-D imaging system based on compressive sensing (CS) from the perspective of imaging system construction and image reconstruction algorithms. The system model is built, and mainly structures are introduced such as the fiber array and DMD. Two simulation experiments are organized. First, the stripe images of a simple target are obtained. In the process of reconstructing the intensity image and range image, the extraction methods of the measurement matrix required by the CS algorithm are given, respectively. The resulting images and variance curve show that the image quality increases with the number of measurements. The second experiment with a complex target is carried out. Two levels of distance interval are used to analyze the imaging effect in the simulation. It is found that the image resolution is directly related to the distance interval selection.

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Jingya Cao, Shaokun Han, Fei Liu, Yu Zhai, and Wenze Xia "Research on the streak tube three-dimensional imaging method based on compressive sensing," Optical Engineering 57(8), 083101 (11 August 2018). https://doi.org/10.1117/1.OE.57.8.083101

Received: 14 March 2018; Accepted: 25 July 2018; Published: 11 August 2018

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KEYWORDS

Image processing

Imaging systems

3D image processing

Compressed sensing

Digital micromirror devices

3D acquisition

Ultrafast imaging

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