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Novel scene adaptive method for non-uniformity correction in infrared focal plane arrays

LAI Rui;YANG Yin-tang
  

  1. (School of Microelectronic, Xidian Univ., Xi’an 710071, China)
  • Received:2008-09-01 Revised:1900-01-01 Online:2009-04-20 Published:2009-05-23
  • Contact: LAI Rui E-mail:rlai@mail.xidian.edu.cn

Abstract: A neural network based scene-adaptive non-uniformity correction (NUC) algorithm for infrared focal plane arrays (IRFPA) is proposed. This method redesigns the structure of the hidden layer, which is helpful to estimate the desired target value more precisely. In addition, the variable step size normalized LMS (VSS-NLMS) based adaptive filtering technique is introduced to the correction parameter estimation process, which yields faster convergence and higher stability. Anyway, the proposed NUC method achieves high performance in correction precision, convergence rate and stability, which is validated by experimental results.

Key words: infrared imaging, infrared focal plane arrays, noise abatement, neural networks, adaptive filtering

CLC Number: 

  • TN215