Zhang T, Li X Y, Li J F, et al. sCMOS real-time nonuniformity correction based on adaptive multipoint method[J]. Opto-Electron Eng, 2021, 48(5): 210036. doi: 10.12086/oee.2021.210036
Citation: Zhang T, Li X Y, Li J F, et al. sCMOS real-time nonuniformity correction based on adaptive multipoint method[J]. Opto-Electron Eng, 2021, 48(5): 210036. doi: 10.12086/oee.2021.210036

sCMOS real-time nonuniformity correction based on adaptive multipoint method

    Fund Project: National Natural Science Foundation of China (11573066) and Yunnan Province Basic Research Plan (2019FA001)
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  • In order to improve the nonuniformity caused by the process bias of sCMOS readout circuit, an adaptive multipoint nonuniformity correction method is presented. The algorithm first determines the location of the optimal segment point and the optimal number of segments by searching for the minimum norm point and threshold comparison, then corrects two points in each interval segment according to the segment information. This adaptive method can effectively improve the correction performance of traditional multipoint methods, which is caused by improper selection of segment parameters. At the same time, in order to achieve real-time non-uniformity correction, a matching embedded data series correction scheme is proposed based on the algorithm characteristics of adaptive multipoint method, which can achieve non-uniformity correction without affecting the existing camera acquisition structure and acquisition rate.
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  • Overview: sCMOS is a photoelectric detection device widely used in scientific research field today. The parameter mismatch between the column amplifiers may occur due to its process, which leads to the nonuniformity problem. The methods for nonuniformity correction can be divided into scene-based and calibration-based methods. In the real-time application scenarios, the calibration-based multipoint nonuniformity correction method is widely used in engineering because of its simple calculation and high accuracy. However, the multipoint correction method has some difficulties in selecting the location and number of segments. The calibration-based adaptive multipoint correction method proposed in this paper can automatically obtain the optimal location and optimal number of segments by searching for the maximum error point and the number of segments closest to the accuracy threshold. This method can effectively avoid the degradation of the correction performance caused by improper selection of segment parameters in traditional multipoint methods. The basic principle is to search for the maximum error point between the non-linear photoelectric response curve of each pixel and the straight line composed of the first and last points as the basis for selecting the segment location, and to calculate the error accuracy of the segment as the basis for selecting the number of segments. After obtaining the segment points and the number of segments, the two-point method can be repeated for each linear segment to correct each segment straight line to the reference line, where the reference curve is obtained by fitting the global average point. Experimental results show that the sCMOS image processed by the adaptive multipoint correction method has better PRUN and more uniform and stable column mean curve than traditional single-point, two-point and average multipoint methods. For an image acquisition system where the acquisition software and the system structure are solidified, an embedded data series correction scheme is presented according to the characteristics of the adaptive multipoint method in order to achieve nonuniformity correction while maintaining the existing acquisition structure. By comparing the decoded data from the sCMOS camera with the lookup table, the offset and gain correction coefficients for the matching segment period and the corresponding period are determined. Subsequent multipliers and adders are used to correct the linear segment to the reference line using a two-point method. Finally, the corrected data is encoded and output in the original data format. With this scheme, a camera with a frame rate of 200 frames per second at the 2k×2k resolution used in the experiment can achieve real-time nonuniformity correction without changing the collection structure, acquisition rate and acquisition software of the existing camera.

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    沈阳化工大学材料科学与工程学院 沈阳 110142

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