一种高鲁棒性的运动模糊图像复原算法OA北大核心CHSSCDCSCDCSTPCD
A Robust Method for Noisy and Motion Blurred Image Restoration
为解决常用的基于能量谱和倒谱零点的运动模糊图像复原方法的噪声敏感问题,提出了一种高鲁棒性和适应性的新算法。该算法使用中值互补模板法进行噪声能量的估计,在对数能量谱域内使用改进的Radon变换实现模糊角度的识别,通过旋转图像使运动模糊出现在水平方向,然后在双谱域内识别模糊长度,大大降低了噪声对识别的影响。实验结果表明:本文算法能够处理信噪比大于5dB的噪声模糊图像,图像复原效果显著。
The conventional restoring method of motion blurred image, based on power spectrum or bispeetrum, has high sensitivity to noise. In order to overcome this shortcoming, this paper proposes a new method, in which a median complement template is adopted to estimate the noise power. After the motion direction is identified in logarithm power spectrum domain, the blurred image is rotated to horizontal direction. Moreover, the motion extent is calculated in bispec…查看全部>>
高治雄;金韬
浙江大学信息与电子工程学系,杭州310027浙江大学信息与电子工程学系,杭州310027
电子信息工程
图像处理运动模糊点扩散函数(PSF)Radon变换双谱
image processingmotion blur identificationpoint spread function (PSF)Radon transformationbispectrum
《华东理工大学学报:自然科学版》 2012 (4)
506-510,5
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