| 基于小波变换的正则化图像恢复方法研究 |
| |
| 引用本文： | 许路铁,杨健,程宏凯.基于小波变换的正则化图像恢复方法研究[J].科学技术与工程,2007,7(13):3242-3244. |
| |
| 作者姓名： | 许路铁 杨健 程宏凯 |
| |
| 作者单位： | 1. 军械工程学院,石家庄,050003
2. 军械土官学校,武汉,430075 |
| |
| 摘 要： | 介绍了基于小波变换的正则化图像恢复方法，它利用图像小波变换后各个子频带所具有的不同的频率选择性和不同的方向特性，对各子频带采用不同的正则化参数和正则化算子，将图像分解为一个低频子频带LL和三个高频子频带，然后对原图像的各个子频带图像分别进行迭代恢复，使各个子频带分别收敛于其最大信噪比。
|
| 关 键 词： | 小波变换 正则化 图像恢复 |
| 修稿时间： | 2007-02-25 |
Research of Regularized Image Restoration Method Based on Wavelet Transform |
| |
| XU Lu-tie,YANG Jian,CHENG Hong-kai.Research of Regularized Image Restoration Method Based on Wavelet Transform[J].Science Technology and Engineering,2007,7(13):3242-3244. |
| |
| Authors: | XU Lu-tie YANG Jian CHENG Hong-kai |
| |
| Institution: | 1. Ordanace Engineering College, Shijiazhuang 050003 P. R. China;2. Ordanace N. C. O Academy of PLA , Wuhan 430075, P.R. China |
| |
| Abstract: | The regularized image restoration method based on wavelet transform is introduced , which makes use of the characteristic that each sub-frequency band has different frequency selectivity and directivity after wavelet transform, and divided the image signal into a low frequency sub-frequency band LL and three high frequencies by adopted different regularized parameter and regularized arithmetic operators to each sub-frequency band, and then make iterative recovery to each sub-frequency band separately and make each sub-frequency band convergent to maximum SNR. |
| |
| Keywords: | wavelet transforms regularized image restoration |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《科学技术与工程》浏览原始摘要信息 |
| 点击此处可从《科学技术与工程》下载免费的PDF全文 |
