Researchers have made progress in the research of highly dynamic compressed sensing imaging technology

As a computational imaging technology, compressed sensing imaging has the advantages of breaking through the sampling limit of Nyquist, high-throughput measurement, and single-pixel imaging, and has important application value in the fields of ground remote sensing, lidar, and biomedicine. However, traditional compressed sensing imaging has shortcomings compared with ordinary imaging in terms of spatial and temporal dynamic range. On the one hand, compressed sensing imaging imposes too high dynamic range requirements on the detector, resulting in low imaging quality under the condition of limited detector number of digits. On the other hand, because compressed sensing imaging requires multiple modulations and measurements to obtain information, it is difficult to meet the application requirements of real-time imaging.

In response to the actual needs of high-dynamic compressed sensing imaging in space and time, Liu Xuefeng’s team from the Key Laboratory of Electronic Information Technology of Complex Space Systems of the National Space Science Center of the Chinese Academy of Sciences has carried out a series of research work and made new progress. In terms of spatial hyperdynamic imaging, the research team proposed a compressed sensing imaging method with sparse measurement combined with parallel jitter, which uses sparse modulation to reduce the dynamic range of the signal to be measured, and improves the effective dynamic range of optical measurement with multi-pixel detection superimposed on random jitter signals, which significantly improves the compressed sensing imaging quality when the detector number is limited, and reduces the dynamic range requirement of the detector to 1 bit (Figure 1). The relevant work was published in Optics Express (IF: 3.833), an international academic journal in the field of optics, and was recently selected as a key scientific article by Advances in Engineering (AIE), a well-known global technology website in the field of engineering.

Figure 1. Comparison of compressed sensing imaging results under different detector dynamic range conditions

In terms of temporal high dynamic imaging, the research team cooperated with the Quantum Technology Research Center of Beijing Institute of Technology to carry out the research of parallel compressed sensing imaging technology, and proposed a system calibration and image reconstruction method based on parallel modulation sampling, so that compressed sensing imaging can reach real-time imaging speed and have pixel super-resolution imaging capabilities. Based on this principle, the development of high-resolution mid-infrared imaging prototype, which can use 320×256 pixel mid-wave infrared detector to achieve real-time imaging with 1280×1024 resolution (Figure 2), this technology is of great significance for solving the constraints of insufficient resolution of high-performance infrared sensor on the development of infrared imaging equipment. The work was published in Optics and Laser Technology (IF: 4.939), an international academic journal in the field of optics. (Source: National Space Science Center, Chinese Academy of Sciences)

Figure 2. (a) Schematic diagram of the mid-infrared pixel super-resolution imaging prototype and (b) Super-resolution imaging results for resolution targets and long-range targets

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