Acta Photonica Sinica, Volume. 51, Issue 9, 0910004(2022)
Real-time Bad Pixel Detection and Compensation Method for Short-wave Infrared Camera
Point target measurement camera is one of the key parts in celestial navigation technology, which is used to measure star's centroid coordinate to assist celestial navigators such as star trackers to obtain precise positions and attitude information. Point target measurement cameras using short-wave infrared focal plane detectors have the advantages of low power consumption and high detection rate. Due to factors such as manufacturing materials and production processes, infrared focal plane has bad pixels. The on-orbit infrared camera usually compensates for the bad pixels measured by ground-based test equipment. However, because the infrared camera is inevitably affected by the space irradiation environment and high-energy particles when the infrared camera is on-orbit, new bad pixels will appear, which seriously affects the camera's imaging quality and the accuracy of extraction result of star's centroid coordinate. Therefore, it is meaningful and important to study an accurate and reliable bad pixel detection and compensation algorithm for the on-orbit infrared camera. Nowadays, there are many researches on the detection and compensation of bad pixels. But these methods have some shortcomings. Some methods have a large amount of calculation in the detection process, which lead to the bad real-time performance of the on-orbit infrared camera detecting and compensating bad pixels. Other methods have low detection accuracy, because the detection and compensation results are affected by neighboring bad pixels and different background. This paper analyzes the characteristics of the gray value of bad pixels and proposes a real-time bad pixel detection and compensation method based on gray gradient and sparse vision. The method uses a
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Xuedong SONG, Yingchao MA, Qi ZHOU, Da LIAN, Luwei YU, Xiaonan MAO. Real-time Bad Pixel Detection and Compensation Method for Short-wave Infrared Camera[J]. Acta Photonica Sinica, 2022, 51(9): 0910004
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Received: Dec. 24, 2021
Accepted: Apr. 21, 2022
Published Online: Oct. 26, 2022
The Author Email: MAO Xiaonan (meureka@126.com)