针对光场成像中对焦图像混叠离焦、具有模糊弥散斑的问题,提出了一种基于微透镜阵列的合成孔径去遮挡算法。搭建含微透镜阵列的微型光场单相机系统,进行原始图像数据采集;采用合成孔径技术对遮挡物进行数字聚焦,识别出遮挡物;选择灰度方差,对遮挡物和目标物体像素值范围进行划分,将识别出的遮挡物去除,并进行二次聚焦,提取出目标图像。实验表明:该算法同其他算法相比,无参考图像质量评价值平均提高18.83%,提升了图像质量;同时也呈现了场景的三维信息,具有较高的对比度和信噪比。

To address the overlapping and defocusing of images with blurred diffuse speckles, a synthetic-aperture occlusion removal algorithm using a microlens array (MLA) is proposed. In this study, a single light-field imaging system with an MLA is designed to acquire data of the original image. The synthetic aperture method is utilized to digitally focus for recognizing occlusion objects in a scene. According to the gray variance value, the threshold value is set to distinguish an occlusion object from the target object. Then, the occlusion object is removed when it is recognized, and the target object can be extracted by refocusing. The experiment shows that the no-reference image quality assessment value is improved by at least 18.83% compared with that using other similar algorithms. The proposed method not only improves the image quality, but also presents 3D information of the scene. It also obtains the target image with a high contrast and high signal-to-noise ratio.