论文标题
3D无透镜成像的编码照明
Coded Illumination for 3D Lensless Imaging
论文作者
论文摘要
基于掩模的无透镜相机通过用一层编码掩码在传统相机中代替镜头，为成像系统提供了新颖的设计。无镜头相机的每个像素编码整个3D场景的信息。无透镜测量的3D重建方法的现有方法遭受了空间和深度分辨率差。这部分是由于系统疾病的条件造成的，因为来自不同深度平面的点传播函数（PSF）非常相似。在本文中，我们建议以一系列编码的照明模式捕获场景的多个测量值，以提高3D图像重建质量。此外，我们将照明源放在距离相机距离的远处。在无透镜相机和照明源之间的基线距离之间，相机观察了3D体积的切片，并且每个深度平面的PSF彼此之间的分解更加分辨。我们提供了模拟结果以及实验结果以及相机原型，以证明我们方法的有效性。
Mask-based lensless cameras offer a novel design for imaging systems by replacing the lens in a conventional camera with a layer of coded mask. Each pixel of the lensless camera encodes the information of the entire 3D scene. Existing methods for 3D reconstruction from lensless measurements suffer from poor spatial and depth resolution. This is partially due to the system ill conditioning that arises because the point-spread functions (PSFs) from different depth planes are very similar. In this paper, we propose to capture multiple measurements of the scene under a sequence of coded illumination patterns to improve the 3D image reconstruction quality. In addition, we put the illumination source at a distance away from the camera. With such baseline distance between the lensless camera and illumination source, the camera observes a slice of the 3D volume, and the PSF of each depth plane becomes more resolvable from each other. We present simulation results along with experimental results with a camera prototype to demonstrate the effectiveness of our approach.
