Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10134345 | Optik - International Journal for Light and Electron Optics | 2018 | 20 Pages |
Abstract
The nonuniformity of infrared focal plane array (IRFPA) seriously affects the image quality and the measurement accuracy of the infrared detector system. Long-wave infrared (LWIR) detector has highly sensitivity and image unstable factors, and the nonuniformity tends to drift slowly with the change of the environment. In this paper, we propose a new nonuniformity correction (NUC) algorithm based on gradient sky scene. Firstly, we obtain the two-point calibration images at two different pitch angles in the pure sky without any cloud. And then, the gain and offset coefficients are calculated from the standard two-point NUC. Finally, the local weighted filter based denoising algorithm is employed to eliminate a few residual isolated noise. Computational result shows that the SNR gain of the proposed method is increased 2.50â¯dB compared to the standard two-point method based on uniform blackbody. Results indicate that the proposed algorithm exhibits a superior correction effect and has the advantage of low complexity which meets the real-time requirements.
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Engineering (General)
Authors
Rang Liu, Dejiang Wang, Ping Jia, Xin Che,