提出一种新算法来估计含噪图像线性运动模糊的方向和长度。结合空间域及频域分析,使用Radon变换检测运动方向,双谱模型估计运动长度,最后利用Richardson—Lucy滤波恢复清晰图像。仿真实验结果表明,对于含噪图像该算法比以往算法更优胜。基本满足图像复原的稳定性、可靠性、精度高等要求。
Motion blur is one of the most common blurs that graded images, an image restoration algorithm is established. degrades the images. In order to rest Restoration of such images is highly ore de- depen- ding on the blur parameters estimation. In this paper, we have proposed a novel algorithm to estimate mo- tion blur parameters such as direction and length. We used Radon transform to find blur direction and bis- pectrum modeling to find the motion length. Our algorithm is based on the combination of spatial and fre- quency domain analysis. Finally, using the Richardson-Lucy filter recover a sharp image. Experimental re- sults indicate that algorithm for noisy image is superior than ever more algorithm. It can satisfy the re- quirements of the image restoration which is stability, reliability and high precision.