Wang Min, Zhou Shudao, Yan Wei
College of Meteorology and Oceanography, National University of Defense Technology, Jiangsu Province, PR of China.
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Jiangsu Province, PR of China.
PLoS One. 2018 Jan 29;13(1):e0191833. doi: 10.1371/journal.pone.0191833. eCollection 2018.
Motion blur in images is usually modeled as the convolution of a point spread function (PSF) and the original image represented as pixel intensities. The knife-edge function can be used to model various types of motion-blurs, and hence it allows for the construction of a PSF and accurate estimation of the degradation function without knowledge of the specific degradation model. This paper addresses the problem of image restoration using a knife-edge function and optimal window Wiener filtering. In the proposed method, we first calculate the motion-blur parameters and construct the optimal window. Then, we use the detected knife-edge function to obtain the system degradation function. Finally, we perform Wiener filtering to obtain the restored image. Experiments show that the restored image has improved resolution and contrast parameters with clear details and no discernible ringing effects.
图像中的运动模糊通常被建模为点扩散函数（PSF）与以像素强度表示的原始图像的卷积。刀口函数可用于对各种类型的运动模糊进行建模，因此在不知道具体退化模型的情况下，它可以构建PSF并准确估计退化函数。本文讨论了使用刀口函数和最优窗口维纳滤波进行图像恢复的问题。在所提出的方法中，我们首先计算运动模糊参数并构建最优窗口。然后，我们使用检测到的刀口函数来获得系统退化函数。最后，我们进行维纳滤波以获得恢复后的图像。实验表明，恢复后的图像具有更高的分辨率和对比度参数，细节清晰，没有明显的振铃效应。
