【作者】 王菲；

【导师】 邵晓鹏；

【作者基本信息】 西安电子科技大学 ， 光学工程， 2010， 硕士

【摘要】 在图像拍摄记录的过程中,由于被摄物与成像系统产生相对运动而造成的图像退化称为运动模糊。对其复原的目的在于补偿图像降质,使恢复后的图像尽可能地接近原始图像,为此要对恢复图像的质量进行评价。运动模糊参数是建立二维点扩展函数所必须的先验知识,采用基于频域特性,结合高斯-拉普拉斯边缘检测和Radon变换的方法对运动方向进行估计;利用基于波方程和自相关的测量方法鉴别运动模糊距离。在此基础上,采用Richardson-Lucy迭代算法和维纳滤波方法在选取不同参数的情况下对运动模糊图像进行恢复。对于复原的图像,使用基于传播波方程的运动模糊图像恢复质量客观评价准则进行质量评价,通过与均方误差评价指标的比较,验证了该准则的有效性、可靠性及和主观评价结果的一致性,并确定了参数选取对维纳滤波恢复质量的影响。更多还原

【Abstract】 Motion-blurring is caused by the relative motion between the camera and the object while the camera is recording. The purpose of restoration is to compensate for image degradation, so that the restored image is as close as possible the original image. So the quality of restored image should be evaluated. Motion blur parameters are priori knowledge necessary for building two-dimensional point spread function. The direction of motion blur is estimated by using the method combined Gauss - Laplace edge detection and Radon transform based on frequency-domain features. The measurement method of blur extent identification based on wave equations and autocorrelation function is used. On this basis, the Richardson-Lucy iterative algorithm and Wiener filtering method are utilized for motion-blurred image restoration under different parameters. For the restored images, Objective assessment to restoration of motion-blurred images based on traveling wave equation is adopted to evaluate the images quality. The criterion’s validity, reliability and consistency with subjective evaluation are proven, and the effect of parameters selection of the Wiener filter method to restored image quality is determined through the comparison with the evaluation index of mean square error.更多还原