首页 | 本学科首页   官方微博 | 高级检索  
     

基于L-R非线性迭代的降质图像复原算法
引用本文:陈云龙,王平,王鹏.基于L-R非线性迭代的降质图像复原算法[J].计算机工程,2010,36(4):202-204.
作者姓名:陈云龙  王平  王鹏
作者单位:国防科技大学ATR重点实验室,长沙,410073
基金项目:国家重点实验室基金资助项目(9140A01010507KG01)
摘    要:为克服图像传输和获取过程中受模糊、失真等因素影响所造成的图像降质,提出一种基于L-R非线性迭代的降质图像复原算法。建立图像退化和恢复模型,并给出复原图像的评价测度。仿真实验结果表明,与传统的维纳滤波相比,该算法在存在多种随机噪声的情况下,能达到较好的图像复原效果。

关 键 词:图像复原  L-R算法  点扩散函数  非线性迭代
修稿时间: 

Degradation Image Restoration Algorithm Based on L-R Nonlinear Iteration
CHEN Yun-long,WANG Ping,GAO Ying-hui.Degradation Image Restoration Algorithm Based on L-R Nonlinear Iteration[J].Computer Engineering,2010,36(4):202-204.
Authors:CHEN Yun-long  WANG Ping  GAO Ying-hui
Affiliation:(ATR Key Lab, National University of Defense Technology, Changsha 410073)
Abstract:To overcome the degradation phenomenon caused by blurring and distortion during the process of image transmission and capture, a degradation image restoration algorithm based on L-R nonlinear iteration is proposed. The model of image degradation and restoration process is established, and the relative evaluation rules are described. Simulation results show that compared with the traditional Wiener filtering, ideal image restoration results can be achieved by this algorithm in the condition where multiple random noises exist.
Keywords:image restoration  L-R algorithm  Point Spread Function(PSF)  nonlinear iteration
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程》浏览原始摘要信息
点击此处可从《计算机工程》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号