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计算机工程 ›› 2011, Vol. 37 ›› Issue (17): 200-202,205. doi: 10.3969/j.issn.1000-3428.2011.17.067

• 图形图像处理 • 上一篇    下一篇

基于曲波变换的图像非线性增强改进算法

肖 丁,孙自强   

  1. (华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海 200237)
  • 收稿日期:2011-03-21 出版日期:2011-09-05 发布日期:2011-09-05
  • 作者简介:肖 丁(1985-),女,硕士研究生,主研方向:图像处 理;孙自强,教授
  • 基金资助:
    上海市重点学科建设基金资助项目(B504)

Improved Algorithm of Image Nonlinear Enhancement Based on Curvelet Transform

XIAO Ding, SUN Zi-qiang   

  1. (Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China)
  • Received:2011-03-21 Online:2011-09-05 Published:2011-09-05

摘要: 在传统曲波图像增强中,非线性增益函数通常需要调节多个参数。针对该问题,提出一种基于曲波变换的图像非线性增强改进算法。在处理低对比度图像前,对其空间域特征进行分析处理,将空间域非线性增强和曲波非线性增强处理相结合,通过较少的参数选择,结合曲波变换的多尺度特性,提高曲波增强方法的自适应度。实验结果证明,该算法具有较好的图像增强效果。

关键词: 曲波变换, 低对比度, 图像增强, 非线性变换, 自适应

Abstract: Aiming at the complication of modulating different parameters of nonlinear gain function on general image enhancement algorithm based on curvelet transform, an improved algorithm of image nonlinear enhancement based on curvelet transform is given in this paper. It analyzes and processes the spatial feature before low contrast image is processed, then combines the spatial nonlinear transform and curvelet nonlinear transform, through the choice of less parameters and combination of multiscale characteristic of curvelet transform to improve the self-adaption of curvelet enhancement. Experimental results demonstrate that the proposed method has better effect on image enhancement.

Key words: curvelet transform, low contrast, image enhancement, nonlinear transform, self-adaption

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