基于亚像素模糊检测的Wiener对运动模糊图像复原方法

在图像获取中由于目标运动、拍摄条件等原因,容易产生剧烈的运动模糊,难以辨认。针对运动模糊点扩散函数、信噪比不知的情况下,对传统Wiener进行了创新和实践,探讨了基于亚像素的模糊方向与深度检测和递推迭代的自适应Wiener滤波对运动图像的复原方法。该方法首先对图像进行任一方向的亚像素进行模糊运动方向计算并确认,而后解算模糊尺度。采用先验信噪比进行预设,并迭代推算得出最优值。实验表明,该方法在对拍摄的模糊图像处理能获得较理想的效果。

Study on Restoration Methods for Motion Blurred Image Based on Sub-Pixel Blur Detection on Wiener Filtering

As influenced by many factors within image acquisition,especially when the target movement status is difficult to obtain,the photography equipment jitter,often produce severe motion blur,it is difficult to identified. The paper aim at innovate traditional Wiener made and practice,when motion function blur and SNR unknown;discuss the Wiener filter for motion image restoration method based on the sub-pixel direction detection and depth. The method first,judge the sub-pixel direction of motion and calculate as well as confirm,and then calculate the fuzzy scale. Empirical SNR is adapt to preinstall, and trans-iterative calculate the optimal value. Experiment results shows that after restoration the blurred motion fighter image is achieved the desired effect.