Three-dimensional display with a long viewing distance by use of integral photography

We developed a technique of three-dimensional (3-D) display for distant viewing of a 3-D image without the need for special glasses. The photobased integral photography (IP) method allows precise 3-D images to be displayed at long viewing distances without any influence from deviated or distorted lenses in a lens array. We calculate elemental images from a referential viewing area for each lens and project the corresponding result images to photographic film through each lens. We succeed in creating an image display that appears to have three dimensionality even when viewed from a distance, with an image depth of 5.7 m or more in front of the display and 3.5 m or more behind the display. To the best of our knowledge, the long-distance IP display presented here is technically unique because it is the first report of generation of an image with such a long viewing distance.     

计算机辅助透镜阵列合成全息术的研究

基于合成全息照相和计算机图形学原理,提出利用计算机制作初级体视图序列的方法,并与线阵透镜相结合,实现了计算机和光学联合制作体视全息图.研究了线阵透镜的成像规律和三维数据的计算机显示原理,获得了计算机制体视图与透镜阵列成像的对应关系,根据该对应关系设计了计算程序,并进行了实验验证.     

Depth-enhanced integral imaging system with convex and composite concave micro-lens arrays

A depth-enhanced integral imaging system is proposed by using a convex micro-lens array and a composite concave micro-lens array. The convex-micro-lens array is used to provide a virtual elemental image array for the composite concave micro-lens array. The composite concave micro-lens array which has two focal lengths is used to display integral images with the virtual elemental image array. Compared with the conventional integral imaging, the proposed system can form the 3D image around two image planes with viewing angle being enhanced remarkably. The principle of the enhancement of the image depth is explained in detail and the experimental results are presented.     

4-D image reconstruction for Streak Tube Imaging Lidar

The Streak Tube Imaging Lidar (STIL) which is the flash laser radar is developed in recently years. It can output the 4-D image (3-D range image + 1-D intensity image). The core part of STIL is the streak tube, which is a line array detector. STIL can directly collect the image of returned light pulse, and consequently, it can’t output the 4-D target image. In the paper, the peak detection as the reconstruction algorithm is used to reconstruct the multiple streak tube images, and the clear 4-D target images are obtained. The outdoor imaging experiments are completed for the far distance buildings. The reconstruction for the multiple streak tube images is finished, and the results state that the peak detection algorithm can output the high-resolution 4-D target images. Original Text ? Astro, Ltd., 2009. The article is published in the original.     

A miniature high resolution 3-D imaging sonar

This paper discusses the design and development of a miniature, high resolution 3-D imaging sonar. The design utilizes frequency steered phased arrays (FSPA) technology. FSPAs present a small, low-power solution to the problem of underwater imaging sonars. The technology provides a method to build sonars with a large number of beams without the proportional power, circuitry and processing complexity. The design differs from previous methods in that the array elements are manufactured from a monolithic material. With this technique the arrays are flat and considerably smaller element dimensions are achievable which allows for higher frequency ranges and smaller array sizes. In the current frequency range, the demonstrated array has ultra high image resolution (1″ range × 1° azimuth × 1° elevation) and small size (<3″ × 3″). The design of the FSPA utilizes the phasing-induced frequency-dependent directionality of a linear phased array to produce multiple beams in a forward sector. The FSPA requires only two hardware channels per array and can be arranged in single and multiple array configurations that deliver wide sector 2-D images. 3-D images can be obtained by scanning the array in a direction perpendicular to the 2-D image field and applying suitable image processing to the multiple scanned 2-D images. This paper introduces the 3-D FSPA concept, theory and design methodology. Finally, results from a prototype array are presented and discussed.     

傅里叶望远镜重构图像虚像分析

研究了采用T型激光发射阵列情况下傅里叶望远镜重构图像的虚像问题, 基于系统成像基本原理, 明确了虚像的来源. 分析认为, 发射光束在x和y轴扫描时, 在俯仰角误差的作用下, 抽取目标的空间频率和设定值之间存在一定的偏差; 当进行轴向和象限相位闭合、计算目标的单一傅里叶分量时, 该偏差会对频谱的频移造成随机的相位影响, 反映在空域上使得重构图像存在虚影现象. 在不同扫描方式情况下, 采用下一步外场实验参数, 通过计算机模拟证实了上述分析的正确性.     

一种改进型视角投影图像彩色计算全息术的三维重构算法

本文提出了一种利用三维景物的二维视角投影图像合成计算全息图,并重构出彩色再现三维影像的方法.该方法基于利用视角投影图像获取景物的三维傅里叶频谱的理论,采用电荷耦合器件记录三维景物在白光照明条件下横、纵两正交方向的一系列视角投影图像,并利用这些视角投影图像合成计算全息图,从而重构出三维再现像.通过采用在频谱面上的容余采样方法,提高了图像频谱信息的利用率,通过实验论证,证明了该方法的可行性.利用该方法使得视角投影图像的记录过程更加简单,节省了采样时间,提高了程序运行速度|能够在利用同等数量的视角投影图像的条件下,提高合成全息图的质量,使得重构的彩色再现三维影像更加清晰.     

Analysis of the features and reconstruction of a high resolution infrared image based on a multi-aperture imaging system

Infrared images of good quality are strictly important for such applications as targets detection, tracking and identifying. Traditional single aperture infrared imaging system brings in some defects for its imaging scheme. Multi-aperture imaging system shows promising characteristic of improving image quality and reducing size of optical instruments. We reconstruct a high resolution infrared image from the low resolution sub-images collected by the compact multi-aperture imaging system. A novel reconstruction method called pixels closely arrange (PCA) is proposed based on analyzing the compound eye imaging process, and this method is verified in a simulated 3D infrared scene to capture sub-images. An evaluation of the reconstructed image quality is presented to discuss the significant factors that affect the final result. Experimental results show that the PCA method can be efficiently applied to the multi-aperture infrared imaging system as long as the structure of the micro-lens array is specifically designed to be adaptive to the infrared focal plane array (IFPA).     

Real-time sensing and three-dimensional display of far outdoor scenes based on asymmetric integral imaging

A new asymmetric integral imaging (AII) system for real-time pickup and three-dimensional (3-D) display of far outdoor scenes based on dynamic-pixel-mapping (DPM) is proposed. DPM is a digital process to transform the elemental images captured with a lens array into the perspective-variant object images (POIs) whose structures are matched with those of display lenses, where the orders of pixels in each POI are reversely mapped, and then capture a set of virtual elemental images (EIs) at the specific depth planes from the back-propagated POIs. This DPM enables an asymmetrical use of pickup and display lens arrays, allowing the long-ranged pickup of far outdoor scenes and their resolution-enhanced 3-D reconstruction. Experiments with a pair of pickup and display lens arrays whose pitches and focal lengths are given by 7.5 mm, 30 mm and 1.2 mm, 8 mm, respectively, show that the effective pickup-range and resolution of the proposed system have been increased up to 6 m and 1600×1600 pixels, respectively, from 0.064 m and 480×480 pixels of the conventional systems employing the same pickup and display lens arrays. In addition, experiments with an implemented test bed confirms that the proposed system can provide real-time 3-D images in 25 frames per second.     

Optimal illumination and wave form design for imaging in random media

The problem of optimal illumination for selective array imaging of small and not well separated scatterers in clutter is considered. The imaging algorithms introduced are based on the coherent interferometric (CINT) imaging functional, which can be viewed as a smoothed version of travel-time migration. The smoothing gives statistical stability to the image but it also causes blurring. The trade-off between statistical stability and blurring is optimized with an adaptive version of CINT. The algorithm for optimal illumination and for selective array imaging uses CINT. It is a constrained optimization problem that is based on the quality of the image obtained with adaptive CINT. The resulting optimal illuminations and selectivity improve the resolution of the images significantly, as can be seen in the numerical simulations presented in the paper.