编码曝光图像的L0正则化去模糊重建方法

目标的运动会导致其成像模糊。为了从模糊的图像中恢复清晰的目标图像，本文采用了编码曝光成像技术。与传统相机成像中快门一直处于开启的状态不同，编码曝光相机成像是在快门开启和闭合转换过程中成像。由于在时域快速转换的编码等效为频域较宽的滤波器，因此编码曝光成像有效地保留了目标的高频信息。为了从编码曝光图像中清晰地复原图像，本文设计了能保留图像高频细节的L ₀正则项约束的图像重建和模糊核估计方法。通过待重建图像与模糊核的交替迭代更新来完成图像重建。仿真合成图像和实际采集图像的实验表明，本方法对多种运动产生的模糊均有良好的图像复原效果。

Deblurring and Restoration Method of Coded Exposure Images Using L 0 Regularization

In order to restore high-quality and sharp image from motion blurred images, the coded exposure imaging technology is adopted. Different from the shutter keeping constant open in traditional camera, the shutter of coded exposure camera is in the conversion between on and off. The high frequency information of the target is effectively preserved, since the fast conversion of code in time domain is equivalent to broadband filter in frequency domain. To obtain the sharp image from the image by coded exposure, image restoration and blurred kernel estimation are recovered based on L ₀ regularization, which can preserve the high frequency details. The sharp image is rebuilt by iterative updating of the restored image and the blurred kernel. Experiments on synthetic and actual images show that the proposed method has good image restoration effect for deblurring caused by various motions.