Title

基于复数小波的图像恢复算法研究

Translated Titles

Research on the Image Restoration Algorithm Based on Complex Wavelets

Authors

龙兴明(Xing-Ming Long);周静(Jing Zhou);马燕(Yan Ma)

Key Words

复数小波 ; 降质图像模型 ; 正则反卷 ; 隐Markov树模型 ; complex wavelets ; degraded image model ; regular deconvolution ; hidden Markov tree model

PublicationName

信息與控制

Volume or Term/Year and Month of Publication

33卷4期(2004 / 08 / 01)

Page #

408 - 412

Content Language

簡體中文

Chinese Abstract

研究了基于复数小波的各种图像恢复算法,提出把HMT模型应用到ForWaRD的图像恢复中。利用ForWaRD算法,首先把模糊加噪的降质图像在傅立叶域中进行维纳滤波器正则反卷,然后在小波域中进行去噪处理,可以得到较好的恢复效果。对典型卷积加噪线性降质图像进行了仿真实验,并把基于复数小波的各种图像恢复算法的仿真结果同基于正交小波的图像恢复算法仿真结果作了比较,发现前者无论从客观指标还是视觉效果上都有明显的优势,尤其是基于HMT模型的复数ForWaRD图像恢复方法。

English Abstract

Some image restoration algorithms based on complex wavelets are discussed, and HMT (hidden Markov tree) model is applied to the ForWaRD image restoration algorithm. Firstly, we use the Wiener filter to deblur the observed image in the Fourier domain, and then remove the unwanted noises in wavelet domain. Simulations are done for solving the typical convolution and noised linear degraded modeling. By comparing the results based on complex wavelets with those of the real orthogonal wavelets, we find that the former method performs better by visual feelings and objective criterions, especially the method of HMT ForWaRD based on complex wavelets.

Topic Category 基礎與應用科學 > 資訊科學
工程學 > 土木與建築工程
工程學 > 電機工程