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基于傅里叶变换的森林红外图像增强算法研究

崔帅 刘波 丁德红

红外技术2015,Vol.37Issue(1):29-33,5.
红外技术2015,Vol.37Issue(1):29-33,5.

基于傅里叶变换的森林红外图像增强算法研究

Algorithm of Infrared Image Enhancement for Forest Based on Fourier Transform

崔帅 1刘波 1丁德红1

作者信息

  • 1. 湖南农业大学信息科学技术学院,湖南 长沙 410128
  • 折叠

摘要

Abstract

With the background of infrared monitoring technology applied in forest fire in forest, as the image characteristics of low contrast and great noise, the method of using Fourier transform is proposed to strengthen the picture in frequency domain.The forest infrared thermal image is enhanced by the ideal low-pass filter, Butterworth high-pass filter and homomorphic filter, respectively. with. According to the comparison, homomorphic filter overcomes the defects of the low pass and high pass filter and enhances details and contrast of image. An enhanced index homomorphic filtering function has been explored. Both the theory analysis and the experimental results show that the method can improve the definition of image and make more satisfactory image.

关键词

图像增强/傅里叶变换/红外图像/滤波器

Key words

image enhancement/Fourier transform/infrared image/filter

分类

信息技术与安全科学

引用本文复制引用

崔帅,刘波,丁德红..基于傅里叶变换的森林红外图像增强算法研究[J].红外技术,2015,37(1):29-33,5.

红外技术

OA北大核心CSCDCSTPCD

1001-8891

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