摘要
分析了运动模糊图像的退化模型和恢复过程，改进了一种运动模糊图像的恢复方法。先通过图像系统辨识方法求解PSF函数，进而在频域和时域完成运动模糊图像的恢复，并就运动模糊图像进行逆滤波恢复、维纳滤波恢复和时域反卷积恢复进行了理论说明，比较了各自的优缺点。最后给出了几种恢复效果的对比实验结果。
This paper analyses the degradation model and restoration process of motion-blurred images and improves a restoration method for motion-blurred images. It works out PSF by system identification , and then restorates images in frequency domain and time domain. It also explicates inverse filter, weiner filter and deconvolution in time domain for motion-blurred images and compare their advantages and disadvantages. Finally it displays the experiment results.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第7期133-135,共3页
Computer Engineering
关键词
图像恢复
点扩散函数
反卷积
逆滤波
维纳滤波
系统辨识
Image restoration
Point spread function(PSF)
Deconvolution
Inverse filter
Weiner filter
System identification
