计算机工程 ›› 2013, Vol. 39 ›› Issue (1): 248-251.doi: 10.3969/j.issn.1000-3428.2013.01.054

• 图形图像处理 • 上一篇    下一篇

基于小波域反正切变换的红外图像增强算法

陈 军 1,张长江 2   

  1. (1. 浙江工业职业技术学院数字媒体与信息工程分院,浙江 绍兴 312000;2. 浙江师范大学数理与信息工程学院,浙江 金华 321004)
  • 收稿日期:2011-10-24 修回日期:2012-02-27 出版日期:2013-01-15 发布日期:2013-01-13
  • 作者简介:陈 军(1980-),女,讲师、硕士,主研方向:图像处理,模式识别;张长江,副教授、博士
  • 基金项目:
    浙江省教育厅科技计划基金资助项目(Y201018804)

Infrared Image Enhancement Algorithm Based on Arc-tangent Transform in Wavelet Domain

CHEN Jun 1, ZHANG Chang-jiang 2   

  1. (1. Digital Media and Information Engineering Branch, Zhejiang Industry Polytechnic College, Shaoxing 312000, China; 2. College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321004, China)
  • Received:2011-10-24 Revised:2012-02-27 Online:2013-01-15 Published:2013-01-13

摘要: 针对红外图像对比度低、噪声大的特点,利用由信息熵、信噪比和图像标准差构成的评价函数,提出一种平稳小波域的红外图像增强算法。以反正切变换为基础,设计在平稳小波域内增强红外图像对比度的非线性变换函数,并利用差分演化算法与评价函数,寻找最优的非线性变换参数。实验结果表明,与传统的小波域增强算法相比,该算法在有效增强红外图像对比度的同时,对噪声具有较强的鲁棒性。

关键词: 红外图像, 小波变换, 差分演化, 反正切变换, 评价函数

Abstract: Because of noise and low contrast of the infrared image, an infrared image enhancement algorithm is proposed. Evaluating function is constructed by combing information entropy, signal-noise-ratio with standard variance in order to evaluate the enhanced image quality. Thus, an efficient nonlinear transform function is designed by arc-tangent transform in stationary wavelet domain so as to enhance the contrast of an infrared image. The optimal nonlinear transform parameter is obtained by combing differential evolution algorithm with the constructed evaluating function. Experimental results show that the proposed algorithm can efficiently enhance the contrast of the infrared image while getting a good robust to noise in the infrared image.

Key words: infrared image, wavelet transform, differential evolution, arc-tangent transform, evaluating function

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