基于一阶微分的运动模糊参数估计

摘要

运动模糊图像是在图像摄取过程中,被摄景物与相机的相对运动产生的.在运动模糊图像恢复技术中,对运动模糊参数即模糊方向和模糊长度的估计是影响恢复结果的关键因素.对运动模糊图像进行一阶微分处理,提取和计算表现该运动特性的特殊像素坐标,得到模糊参数和点扩展函数(PSF).用该方法得到的模糊参数比使用倒频谱方法得到的模糊参数有更高的精度和更广的测试范围.仿真结果显示,用该方法得到的PSF,应用维纳滤波对模拟的和真实的运动模糊图像进行恢复,得到了很好的恢复结果.%In the process of taking a picture , the motion between the subject and the camera will produce a motion blurred image. And restoration quality of a motion-blurred image is highly dependent on the evaluation accuracy of the motion blur parameters. The motion blur parameters include the direction of the motion blur, and the distance that the pixels have been blurred. A linear motion blur parameter identification method, which is based on the first-order difference,is proposed. The experiment shows that the algorithm proposed here has a higher accuracy and evaluation range than the restoration based on the cepstrum domain from the intentional restored image. With the assumed PSF, Wiener filter is applied to restore the original image from the simulative blurred image and real world blurred image.