摘要
盲解卷积是在两个卷积因子未知的情况下,通过卷积结果来获知卷积因子的。不考虑噪声,针对高斯模糊图像,在初始估计点扩展函数之后,利用维纳滤波的方法进行频域迭代盲解卷积,达到图像恢复的目的。实验表明,恢复的图像纹理比较清晰,边缘有所改善,主观视觉效果显著。该算法提高了分辨率。
Blind deconvolution gains the convolution factors from the result of convolution in the case of unknown convolution factors. Not considering the noise, the Gaussian blurred image is restored by using iterative blind deconvolution in fre- quency domain based on Wiener filtering after the initial estimation of point spread function. The simulation results show that the restored image is relatively clear in image texture, the fringe is improved and it is remarkable in subjective visual effect. And this algorithm improves the image resolution.
出处
《光学与光电技术》
2010年第5期24-27,共4页
Optics & Optoelectronic Technology
基金
国家自然科学基金(60777045)
上海市科技启明星计划(08QA14051)
上海市教育发展基金会(2007CG61)
上海市研究生创新基金(JWCXSL1002)资助项目
关键词
维纳滤波
盲解卷积
点扩展函数
图像恢复
Wiener filtering
blind deconvolution
point spread function
image restoration
