Infrared Image Enhancement Using A Histogram Partition Stretching and Shrinking Method

히스토그램 분할 펼침과 축소 방법을 이용한 적외선 영상 개선

  • Jung, Min Chul (Dept. of Computer Engineering, Sangmyung University)
  • 정민철 (상명대학교 공과대학 컴퓨터공학과)
  • Received : 2015.11.25
  • Accepted : 2015.12.21
  • Published : 2015.12.31

Abstract

This paper proposes a new histogram partition stretching and shrinking method for infrared image enhancement. The proposed method divides the histogram of an input image into three partitions according to its mean value and standard deviation. The method stretches both the dark partition and the bright partition of the histogram, while it shrinks the medium partition. As the result, both the dark part and the bright part of the image have more brightness levels. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using various infrared images. The results show that the proposed algorithm is successful for the infrared image enhancement.

Keywords

References

  1. Hoongi Cho, Soogon Kim, Hejong Jun, "Application of local histogram and plateau equalization algorithm for contrast enhancement of real time thermal image," Journal of the Korean Institute of Electrical Engineers, 53D(2), pp. 76-85, (2004).
  2. G.H. Park, H.H Cho, M.R Choi, "A contrast enhancement method using dynamic range separate histogram equalization," IEEE Trans. On Consumer Electronics, 54(4), pp. 1981-1987, (2008). https://doi.org/10.1109/TCE.2008.4711262
  3. Gyu-Hee Park, Jung-Su Youn, Myoung-Ryul Choi, "An adaptive contrast enhancement method using dynamic range separate histogram equalization," The Institute of Electronics and Information Engineers: 2010 Summer Conference, pp. 268-271, (2010).
  4. Tae-Yeop Kim, Bo-Hyun Hwang, Myoung-Ryul, "Contrast enhancement algorithm using histogram threshold and dynamic range expansion factor," The Institute of Electronics and Information Engineers: 2014 Fall Conference, pp. 358-361, (2014).
  5. Sunmi Oh, Joongsuk Song, Jongil Park, "A contrast enhancement algorithm using adaptive threshold in infrared image environment," The Korean Society of Broadcast Engineers: 2014 Fall Conference, pp. 150-153, (2014).
  6. Minchul Jung, "Character segmentation in a gray-scale image using the standard deviation," Journal of The Korean Society of Semiconductor & Display Technology, 11(2), pp. 27-31, (2012).
  7. Minchul Jung, "Optical recognition of credit card numbers," Journal of The Korean Society of Semiconductor & Display Technology, 13(1), pp. 57-62, (2014).
  8. N. Otsu, "A threshold selection method from gray level histograms," IEEE Transactions on Systems, Man, and Cybernetics, SMC-9(1), pp. 62-66, (1979).