Computer and Modernization

Previous Articles     Next Articles

New Infrared Image Nonlinear Enhancement Algorithm #br# Based on Nonsubsampled Contourlet Transform

  

  1. College of IOT Engineering, Hohai University, Changzhou 213022, China
  • Received:2016-07-21 Online:2017-03-29 Published:2017-03-30

Abstract:

Considering the problems that the low contrast and large noise are two main characteristics of infrared image, the infrared image enhancement method is presented in
this paper, which is based on normal distribution characteristics and NSCT transform. First of all, images high frequency coefficients and lowfrequency coefficients are got
by the actual acquisition of nighttime infrared image nonsubsampled contourlet transform, for high frequency coefficients, the adaptive threshold method is used to determine the
high frequency threshold. By judging the edge information, the weak edge and strong edge are made different processing to enhance the edge of the image information. The low
frequency coefficients are made nonlinear correction by using the improved Gamma transform to improve the contrast of the image. Finally, the enhanced image is obtained by
inverse transform. The experimental results show that the proposed algorithm can effectively suppress the noise of infrared image, improve the image contrast information, and
the visual effect is good.

Key words: infrared image enhancement, adaptive threshold, nonlinear correction, Gamma transformation

CLC Number: