Volume 42 Issue 12
Jan.  2014
Turn off MathJax
Article Contents

He Ming, Zhang Tianyi, Wang Yadi, Lu Jianfang, Kou Guang. Non-uniformity correction algorithm based on wavelet transform histogram normalization[J]. Infrared and Laser Engineering, 2013, 42(12): 3481-3485.
Citation: He Ming, Zhang Tianyi, Wang Yadi, Lu Jianfang, Kou Guang. Non-uniformity correction algorithm based on wavelet transform histogram normalization[J]. Infrared and Laser Engineering, 2013, 42(12): 3481-3485.

Non-uniformity correction algorithm based on wavelet transform histogram normalization

  • Received Date: 2013-04-07
  • Rev Recd Date: 2013-05-08
  • Publish Date: 2013-12-25
  • In order to realize infrared image adaptive correction, a method to adaptive correct the non-uniformity(NU) based on wavelet transform histogram normalization was introduced. The new algorithm used the orthogonal wavelet transform to analyze image, calculated the decomposition image histogram of the neighborhood elements of a single pixel, got median histogram by sorting pixels neighborhood histogram and completed decomposition image non-uniformity correction using the mean histogram normalization. Finally, a final result in all scales after the correction by using the inverse wavelet transform was obtained. According to the practical application, this algorithm has the advantage of fast convergence speed and high precision.
  • [1]
    [2] Seribner D A, Sakady K A. Nonuniformity correction for stating IR focal plane arrays using scene-based techniques[C]//Infrared Detectors and Focal Plane Arrays, SPIE, 1990, 1308: 224-233.
    [3]
    [4] Scribner D A. Adaptive retina-like preprocessing for imaging detector drrays[C]//IEEE, 1993: 1955-1960.
    [5] Harris J G, Chiang Y M. Nonuniformity correction of infrared image sequences using the constant statistics constraint[C]//IEEE, 1999, 8(2): 1148-1151.
    [6]
    [7] Delon J. Midway image equalization[J]. Journal of Mathematical Imaging and Vision, 2004, 21(2): 119-134.
    [8]
    [9] Tomasi C, Manduchi R. Bilateral filtering for gray and color images[C]//Proceedings of the 6th International Conference on Computer Vision, 1998: 839-846.
    [10]
    [11] He Ming, Wang Xinsai. Algebraic nonuniformity correction algorithm based on multiscale optical flow[C]//SPIE, 2011, 8193: 45.
    [12]
    [13]
    [14] Su Fu, Sun Shaohua. Non-uniformity correction for IRFPA with image gradient-based neural network[J]. Infrared and Laser Engineering, 2007, 36(5): 754-756. (in Chinese)
    [15]
    [16] Niu Zhaodong, Wang Weihua, Jiang Weidong. Scene-based statistical algorithms for nonuniformity correction of infrared images[J]. Infrared and Laser Engineering, 2005, 34(3): 261-265. (in Chinese)
    [17] Hou Hekun, Zhang Xin. Recent development of infrared focal plane arrays nonuniformity corection[J]. Infrared and Laser Engineering, 2004, 26(3): 5-10. (in Chinese)
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(432) PDF downloads(155) Cited by()

Related
Proportional views

Non-uniformity correction algorithm based on wavelet transform histogram normalization

  • 1. Institute of Information Science & Technology,Information Engineering University of the PLA,Zhengzhou 450052,China;
  • 2. Lab. for Infrared and Imaging Navigation Technologies,Air Defense Forces Academy,Zhengzhou 450052,China

Abstract: In order to realize infrared image adaptive correction, a method to adaptive correct the non-uniformity(NU) based on wavelet transform histogram normalization was introduced. The new algorithm used the orthogonal wavelet transform to analyze image, calculated the decomposition image histogram of the neighborhood elements of a single pixel, got median histogram by sorting pixels neighborhood histogram and completed decomposition image non-uniformity correction using the mean histogram normalization. Finally, a final result in all scales after the correction by using the inverse wavelet transform was obtained. According to the practical application, this algorithm has the advantage of fast convergence speed and high precision.

Reference (17)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return