Resistor array infrared nonuniformity correction based on sparse grid

Xudong He; Jiang Qiu; Qiao Zhang; Huijie Du; Hongming Zhao

doi:10.1117/12.2030971

26 October 2013 Resistor array infrared nonuniformity correction based on sparse grid

Xudong He, Jiang Qiu, Qiao Zhang, Huijie Du, Hongming Zhao

Proceedings Volume 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis; 89170P (2013) https://doi.org/10.1117/12.2030971
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

Resistor array plays a vital role in emulation of the IR control and guide system. However, its serious nonuniformity confines the range of its application. Therefore, in order to obtain an available IR image, nonuniformity correction (NUC) is necessary. The traditional method is sparse grid and flood which only take the array’s nonuniformity into account. In this paper we present an improved sparse grid method which considers the whole system which affects the array’s nonuniformity by dividing the NUC process into different gray levels. In each gray level, we can take two points or several points to calculate the nonuniformity of every block which is divided before correction. After that, we can have several characteristic curves which will be operated with curve fitting. By this means, we will correct the nonuniformity. At last, through the experiment of a number of images, we find the residual nonuniformity associated with random noise is about 0.2% after the correction.

Citation Download Citation

Xudong He, Jiang Qiu, Qiao Zhang, Huijie Du, and Hongming Zhao "Resistor array infrared nonuniformity correction based on sparse grid", Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 89170P (26 October 2013); https://doi.org/10.1117/12.2030971

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