引用本文:李远清,张丽清.一种数字图像盲增强的新算法[J].控制理论与应用,2003,20(4):525~528.[点击复制]
LI Yuan-qing,ZHANG Li-qing.New algorithm for blind enhancement of digital images[J].Control Theory and Technology,2003,20(4):525~528.[点击复制]
一种数字图像盲增强的新算法
New algorithm for blind enhancement of digital images
摘要点击 1983  全文点击 1122  投稿时间：2001-12-24  修订日期：2002-11-07
查看全文  查看/发表评论  下载PDF阅读器
DOI编号  10.7641/j.issn.1000-8152.2003.4.008
  2003,20(4):525-528
中文关键词  数字图像  概率密度  磨光  图像增强
英文关键词  digital image  probability density function (PDF)  smoothing  image enhancement
基金项目  国家自然科学基金(690004004); 广东省自然科学基金(990584); 华南理工大学基金(E5303220)
作者单位E-mail
李远清 华南理工大学 自动化科学与工程学院, 广东 广州 510641 liyuan@bsp.brain.riken.go.jp 
张丽清 上海交通大学 计算机科学与工程系, 上海 200030  
中文摘要
      给出一种数字图像盲增强的新算法. 其中源数字图像及其灰度级未知, 已知的仅仅是被噪声污染了的图像. 该算法首先估计密度函数, 然后估计图像的灰度级, 最后去噪声重建图像, 达到图像增强的目的. 仿真例子说明了该算法的有效性.
英文摘要
      A new algorithm for blind enhancement of digital images was presented. While the corrupted image was known, the source image and its gray levels were unknown. The probability density function was firstly estimated. Then the gray levels were also estimated. Finally, the corrupted image was denoised and reconstructed, and the image enhancement was accomplished. The simulation results help confirm the validity of the algorithm.