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计算机工程 ›› 2008, Vol. 34 ›› Issue (6): 199-201. doi: 10.3969/j.issn.1000-3428.2008.06.072

• 人工智能及识别技术 • 上一篇    下一篇

基于小波信息量分段调整的图像增强

牛和明1,曾 明2,张建勋1   

  1. (1. 南开大学机器人与信息自动化研究所,天津 300071;2. 天津大学电气与自动化工程学院,天津 300072)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-03-20 发布日期:2008-03-20

Image Enhancement Based on Wavelet Information Adjusted by Subsection

NIU He-ming1, ZENG Ming2, ZHANG Jian-xun1   

  1. (1. Institute of Robotics & Automatic Information System, Nankai University, Tianjin 300071;2. School of Electrical and Automation Engineering, Tianjin University, Tianjin 300072)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-03-20 Published:2008-03-20

摘要: 针对全局直方图均衡算法中灰度级统计量与灰度级信息量之间存在的不匹配问题,该文提出一种以频域分析为辅助工具的空间域的图像增强算法。以频域中的小波信息量作为图像灰度级的统计量,对这一统计量进行了分段调整。用调整后的统计量在空间域中进行图像增强,对增强效果给出了两个评价指标。

关键词: 图像增强, 直方图均衡, 小波变换

Abstract: Because there is mismatch between the statistic data and the information of gray levels in the algorithm of global histogram equalization. An algorithm of image enhancement in spatial domain using frequency analysis as an accessorial tool has been made. It regards the wavelet information in frequency domain as the statistic data of gray levels of an image, adjusts the statistic data by subsection, makes image enhancement in spatial domain using the adjusted statistic data, and gives two evaluable index of the enhanced effect.

Key words: image enhancement, histogram equalization, wavelet transform

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