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基于傅立叶-小波HMT方法的卫星图像恢复
引用本文:龙兴明.基于傅立叶-小波HMT方法的卫星图像恢复[J].重庆师范大学学报(自然科学版),2005,22(3):80-82.
作者姓名:龙兴明
作者单位:重庆师范大学,物理与信息技术学院,重庆,400047
基金项目:重庆师范大学校科研和教改项目
摘    要:卫星图像的恢复是一个病态逆问题.本文提出降值卫星图像在傅立叶域中进行Wiener反卷运算后,在复数小波域中利用隐含Markov树(HMT)进行去噪的傅立叶-小波HMT图像恢复算法.典型卷积加噪线性降质卫星图像的仿真实验结果表明,建议的基于傅立叶-小波HMT方法在客观指标,以及视觉效果上都比常用的Wiener恢复算法有较大的提高.

关 键 词:病态逆问题  降质卫星图像  图像恢复  傅立叶  小波域  方法  降质卫星图像  图像恢复算法  Method  Based  Image  Restoration  视觉效果  客观指标  结果  仿真实验  线性  加噪  卷积  去噪  Markov  利用  复数  运算
文章编号:1672-6693(2005)03-0080-03
修稿时间:2005年3月4日

Satellite Image Restoration Based on HMT-ForWaRD Method
LONG Xing-ming.Satellite Image Restoration Based on HMT-ForWaRD Method[J].Journal of Chongqing Normal University:Natural Science Edition,2005,22(3):80-82.
Authors:LONG Xing-ming
Abstract:The satellite image restoration is an ill-condition problem. In this paper the degraded satellite images are restored by our suggested HMT ForWaRD method, in which the degraded image is deblurred by Wiener filter in Fourier domain and then the remained unwanted white gaussian noises are removed by hidden Markov tree (HMT) method in the complex wavelet domain. The simulation is done for solving the typical convolution and noised linear degraded satellite image and its results show that the suggested satellite image restoration method performs better than common Wiener restoration method by visual feelings and objective criteria.
Keywords:ill-condition problem  degraded satellite image  image restoration
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