J4 ›› 2009, Vol. 36 ›› Issue (6): 1070-1074.

• 研究论文 • 上一篇    下一篇



  1. (1. 西安电子科技大学 技术物理学院,陕西 西安  710071
    2. 中船重工第705研究所,陕西 西安  710075)
  • 收稿日期:2009-05-10 出版日期:2009-12-20 发布日期:2010-01-20
  • 通讯作者: 寇小明
  • 作者简介:寇小明(1967-),男,中船重工第705所研究员,西安电子科技大学博士研究生,E-mail: casscamm@126.com.
  • 基金资助:


Approach for adaptive infrared thermal image enhancement

KOU Xiao-ming1,2;LIU Shang-qian1;HONG Ming1;WANG Da-bao1

  1. (1. School of Technical Physics, Xidian Univ., Xi'an  710071, China
    2. No. 705 Research Institute CSIC, Xi'an  710075, China)
  • Received:2009-05-10 Online:2009-12-20 Published:2010-01-20
  • Contact: KOU Xiao-ming



关键词: 红外成像, 背景抑制, 图像增强, 自适应, BP算法


As for the inadequate contrast of infrared thermal imaging, as S curve mapping function is proposed to enhance target objectives and in the meantime suppress background clutters, which has the same range of domain with a variable interval and a non-symmetrical inflection point. With the need of adaptive enhancement for the changing scene, a dynamic self-adaptive model is proposed to adjust the parameters of the S curve based on the scene. By using the threshold and modulation of histogram as the input parameters and the parameters of the enhancement algorithm as the outputs, the coefficients of the model is determined based on typical samples of data through the artificial neural network BP algorithm, with the application showing that this approach is effective.

Key words: infrared imaging, background suppression, image enhancement, adaptive, BP algorithm


  • TN911.73