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The Research of Non-uniformity Correction for Infrared Focal Plane Array

Author: LiHang
Tutor: ZhangGuiLin
School: Huazhong University of Science and Technology
Course: Pattern Recognition and Intelligent Systems
Keywords: Infrared focal arrays non-uniformity correction temporal high-pass filter non-effective pixels detection
CLC: TN215
Type: Master's thesis
Year: 2009
Downloads: 79
Quote: 1
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Abstract


With the development of infrared image technology, the scope of infrared imaging system has been expanded quickly by the increasing of detector numbers in infrared arrays. But in the practical application, the non-uniformity of the response and the non-effective pixels debase the quality of the infrared image. This dissertation mainly research on the problem of non-uniformity and non-effective pixels, proposal the adapted temporal high-pass filter correction method and non-effective pixels detection method.In order to improve the performance of the temporal high-pass filter, we make use of one point calibration correct method firstly, this preprocess could reduce the convergence time of high-pass filter method and restrain the ghosting level. Then induce the change detection to the non-uniformity correction. The change detection method used to divide the pixels to two kinds, one is change pixels another is stillness pixels. Select different strategy for different kind pixels: for the change pixels estimate the parameters of non-uniformity by the temporal high-pass filter, and for the stillness pixels estimate the parameters by the iterative method. The improved method reduce the vanishing when the scene stillness and the ghosting when target moving suddenly after long time of stillness. Test on the real sequence of infrared image, the results show that the proved method is effective.For the non-effective pixels, change the process of detection. Analysis the characteristic of the non-effective pixels, propose an estimate rules based on the application. Propose the double thresholds method based on the 3σrules for normal distribution, it could increase the detection ratio of non-effective detection. And then induce the estimate rules into the process of non-effective pixels detection. Test on the real sequence, the results show that the method used the estimate rules could reach a high detection ratio without adding any like-blind pixels.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Photonics technology,laser technology > Infrared technology and equipment > Infrared detection,infrared detectors
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