一种三维全息图的数字化实现方法

提出一种实现三维显示的新方法,从两步法彩虹全息基本原理出发,通过分区域分幅的方式对多视角图形的波前进行数字化编码,获得夫琅和费光场分布,在位相型硅基液晶空间光调制器上按视角顺序输入该信息,利用透镜的傅里叶变换特性再现多视角子图像,干涉法逐区域拼接获得完整三维图像.最后通过实验获得了三维图像样品,验证了该方法.本方法可成为三维显示的重要技术手段.     

平行摄像机阵列移位法获取视差图像的研究

平行摄像机阵列移位法是一种摄像机阵列获取三维场景的视差图像的新方法.该方法在平行摄像机阵列法的基础上,将获取的视差图像进行平移处理,获得了立体显示所需的具有正、负水平视差的视差图像,且这些视差图像没有楔形失真和垂直视差.该方法集中了会聚摄像机阵列法和平行摄像机阵列法两种常规方法各自的优点并摒弃了其缺点.实验证实,所获取的视差图像在光栅式自由立体显示器上得到了三维场景的清晰逼真再现显示效果.     

多光谱与高分辨率图像融合算法研究

提出了一种多光谱与高分辨率图像融合的新算法.该方法将小波的多分辨分解与IHS变换相结合,它首先利用高分辨率图像各小波面叠加的边缘信息进行区域划分,再通过融合算子实现分区域融合,最后对融合后的强度分量进行IHS反变换,得到一幅同时具有较好空间分辨率和光谱信息的融合图像.实验结果表明,该方法得到的融合图像优于IHS变换法和小波变换法(WT法).     

基于多视角融合的夜间无人车三维目标检测

为了提高无人车在夜间情况下对周围环境的物体识别能力,提出一种基于多视角通道融合网络的无人车夜间三维目标检测方法。引入多传感器融合的思想,在红外图像的基础上加入激光雷达点云进行目标检测。通过对激光雷达点云进行编码变换成鸟瞰图形式和前视图形式,与红外图像组成多视角通道,各通道信息之间融合互补,从而提高夜间无人车对周围物体的识别能力。该网络将红外图像与激光雷达点云作为网络的输入,网络通过特征提取层、候选区域层和通道融合层准确地回归检测出目标的位置以及所属的类别。实验结果表明,该方法能够提高无人车在夜间的物体识别能力,在实验室的测试数据中准确率达到90%,速度0.43 s/帧,达到了实际应用要求。     

紧凑型纯相位全息近眼三维显示

提出了一种紧凑型纯相位全息近眼显示方法，避免了4f系统的使用且通过滤波可消除零级光和高级衍射光的干扰，能够实现近眼虚拟现实（VR）和增强现实（AR）三维显示。在进行全息图计算时，三维物体被分割成多层图像，利用每一层图像相对于投影透镜焦平面的距离和投影透镜的焦距获得该深度对应的补偿相位因子，采用迭代优化算法获得三维物体的纯相位全息图并在所提系统中进行显示。通过数值模拟和光学实验，证明了所提方法的有效性。     

基于视场拼接的全视差三维显示系统

提出了一种新的基于视场拼接的全视差三维显示方法及图像生成方案.系统核心部分由一个微投影机阵列、一个反射光路和一个散射屏组构成,图像生成方案采用基于OpenGL的算法实现.为了验证所提出的基于视场拼接理论的正确性,利用液晶显示器、菲涅耳镜组、定向散射屏和背投式反射光路搭建了实验样机.该装置可以在更紧凑的系统结构下显示包括横向视差和纵向视差在内的三维图像,并且通过图像生成算法的配合实现了动态三维显示效果.     

基于视场拼接的全视差三维显示系统

提出了一种新的基于视场拼接的全视差三维显示方法及图像生成方案.系统核心部分由一个微投影机阵列、一个反射光路和一个散射屏组构成,图像生成方案采用基于OpenGL的算法实现.为了验证所提出的基于视场拼接理论的正确性,利用液晶显示器、菲涅耳镜组、定向散射屏和背投式反射光路搭建了实验样机.该装置可以在更紧凑的系统结构下显示包括横向视差和纵向视差在内的三维图像,并且通过图像生成算法的配合实现了动态三维显示效果.     

基于梯度的数字体图像相关方法测量物体内部变形

数字体图像相关方法通过分析两幅以体素为单位的三维体图像获得物体内部的三维变形信息.在利用数字体图像相关方法测量物体内部变形的过程中,整体素的位移场可以通过简单的空域搜索获得,因此如何计算亚体素位移是提高该方法位移测量精度的关键.介绍了一种基于空间灰度梯度的亚体素位移测量算法,并用计算机模拟生成的可精确控制位移的三维散斑...     

干涉多光谱图像压缩编码新技术

提出一种基于运动估计的三维小波变换和非对称零树编码的干涉多光谱图像压缩方案.该方案利用大孔径静态干涉成像光谱仪推扫成像特点,对图像进行分区域运动估计的三维小波变换.采用了一种新型非对称零树编码方法,该方法可在较少的图像间建立较长的零树,增加了系数编码时由重要结点变为不重要结点并趋于零的概率,使编码的效果更好.该方案消耗内存少,延时小,有利于卫星上的图像压缩,有效地保护了图像的光谱特性.在8倍压缩下,满足干涉多光谱图像的质量要求.     

高速粒子场的全息再现图像的自动分割方法

针对再现图像的处理,通过将图像细分为多个较小区域,在每个小区域同时采用多种阈值计算方法,并引入错误校正机制,获得了能稳定地分割图像的自适应阈值.在此基础上,再用种子生长方法进一步界定粒子的边界,能获得更准确的分割结果,且其过程可以自动完成.该方法已成功用于动态实验图像的处理,获得了很好的结果,静态粒子靶实验表明该方法处理得到的相对误差小于15%.     

光子计数集成成像的压缩与重构

集成成像技术作为一种重要的裸眼三维显示技术,在完整记录三维场景信息的同时,庞大的数据量给传输和存储带来了压力。为了实现图像的有效压缩和重构,根据光子计数集成成像的特点,基于分布式压缩感知理论,提出用于图像压缩与重构的方案。该方案将图像分为参考图像和非参考图像两类,对其设置不同的测量率并分别进行重构。为保证非参考图像的重构质量,提出一种联合重构算法。该算法首先对非参考图像进行分块测量,依据与参考图像之间的相关性进行图像块分类,然后结合参考图像测量值信息构建新的测量矢量,利用新的测量矢量完成初次图像重构。为了进一步提升图像重构质量,对初次重构结果进行二次残差补偿重构,获得最终重构结果。最后通过设置不同的测量率进行了大量实验,实验结果表明,所提算法在测量率为0.25时,图像重构质量可以达到30 dB,测量率为0.4时,图像质量可以达到35 dB,算法性能具有一定的优越性。     

干涉多光谱卫星图像序列编码

星载干涉多光谱图像序列通过图像匹配实行定位形成光谱序列,相邻图像之间具有很强的相关性,与一般图像序列不同的是,相邻图像之间具有明显的平移特点。为了充分利用这一特点实现有效的图像压缩,同时减少编码系统复杂度,提出了一种新的图像序列编码方法,通过小波域系数匹配算法检测出相邻图像之间的相对位移量,然后对差值图像进行类似于单幅图像的编码,从而提高了总体编码效率。本算法具有与相同单幅图像编码算法相当的低复杂度特点,只需要对单幅图像与模板的差值进行基于小波变换的编码,从而避免了基于三维小波变换的编码算法对系统存储量要求大以及编码延时大的缺陷。仿真结果表明,本算法比基于三维小波变换的编码算法效果更好。     

一种新的基于关键子块的图像检索算法

为了将有效的文本检索技术应用到图像检索中,结合人眼视觉特性及方块编码的思想,提出了一种基于图像关键子块的检索算法.即首先利用图像方块编码的思想将图像预先分成互不重叠的子图像块,然后利用方块编码的思想,根据块的灰度差对这些子图像进行独立地编码,这些子图像的方块编码构成的块不仅能有效的描述图像的纹理内容,而且可以反映图像的形状分布和边缘分布.以此来定义图像的关键子块.最后借助文本检索技术来实现图像检索.同时,考虑到不同类型关键子块在图像中出现的频度对检索效果的影响,又提出了相应的改进算法.实验结果表明,该算法是有效的.     

Estimating Spatial Resolution of In Vivo MR Images Using Spatial Modulation of Magnetization

Spatial Modulation of Magnetization is shown to provide a means of estimating perceived spatial resolution directly in vivo. On the first magnetic resonance system tested, resolution in conventional spin echo images was found to be stability limited in the phase encoding direction and voxel limited (via the Nyquist sampling theorem) in the frequency encoding direction both in vitro and in vivo. As the voxel size approaches half the stripe separation, fringes of resolved and unresolved stripes are formed across the image. This phenomenon is explained and described mathematically. On a second magnetic resonance scanner, resolution in the phase encoding direction of fast spin echo images with centrically ordered phase encoding is shown to be voxel limited in substances with long T₂, with poorer resolution in substances with short T₂. Resolution in fast spin echo images with linearly ordered phase encoding was shown to be voxel limited in the phase encoding direction.     

Iterative block level principal component averaging medical image fusion

Image fusion is a method of integrating all relevant and complementary information from images of same source or various sources into a single composite image without any degradation. In this paper, a novel pixel level fusion called Iterative block level principal component averaging fusion is proposed by dividing source images into smaller blocks, thus principal components are calculated for relevant block of source images. Average of principal components of all the blocks provide weights for fusion rule, thus importance is given to blocks of source images. In this scenario, Iterations are incorporated in the form of size of blocks of source images which gives fusion results with maximum average mutual information. This algorithm is experimented for the fusion of noise free medical images and noise filtered of the same. The experimental results for both the cases show that the proposed algorithm performs well in terms of average mutual information and mean structural similarity index.     

The role of voxel aspect ratio in determining apparent vascular phase behavior in susceptibility weighted imaging

Susceptibility weighted imaging (SWI) uses apparent phase contrast to enhance the contrast-to-noise ratio (CNR) in the magnitude image. In theory, the apparent phase will depend on the aspect ratio when both venous blood and parenchyma occupy the same voxel. To demonstrate the maximal expected effect of the external field from a vein, we model the vein as an infinitely long cylinder perpendicular to the main magnetic field. The results show that the apparent phase of a voxel in the image is a function of resolution, vessel size and, to a lesser degree, vessel center within the voxel. The simulations explain why a negative-phase mask has worked in SWI processing of high-resolution images collected in the transverse direction, despite the expected positive-phase behavior for vessels perpendicular to the main field. The predicted phase behavior from the simulations is in good agreement with that observed from human brain datasets.     

Phase-sensitive acoustic microscopy of polymer thin films

The three-dimensional images obtained by scanning acoustic microscopy with vector contrast (PSAM), contain significant qualitative and quantitative information that is not easily obtainable by other methods. We employ this technique to examine homopolymer and polymer blend thin films. The complex V(z) functions derived from the images, and the results obtained by image processing and meticulous analysis are employed to render the morphology, composition and micro-mechanical properties of the polymer films. In addition, ways by which the information inherent in the phase images can be extracted are examined. This is highly desirable, as the phase images contain very useful additional information.     

Alterable-capacity fragile watermarking scheme with restoration capability

To take invisibility and restoration quality into account, this paper proposes an alterable-capacity watermarking scheme. For each block of size 8 × 8 pixels, the alterable-length code is generated based on the roughness of it. The alterable-length watermark generated by the alterable-length code is divided into three parts and embedded in other three blocks based on the secret key. The authenticity of each block is determined by comparing the watermark reconstructed by the block content and the corresponding extracted watermark. To improve the quality of recovered images, two copies of the significant-code of each block are embedded in different blocks and the image inpainting method is adopted to recover the tampered blocks whose significant-code embedded in other blocks is destroyed. The alterable-payload watermark preserves adequate information of image blocks especially for texture images with as few bits as possible and takes into account invisibility, security and restoration quality. Experimental results demonstrate that the proposed scheme improves the quality of watermarked and reconstructed images and is resilient to the known forgery attacks.     

Current-induced magnetic resonance phase imaging

Electric current-induced phase alternations have been imaged by fast magnetic resonance image (MRI) technology. We measured the magnetic resonance phase images induced by pulsed current stimulation from a phantom and detected its sensitivity. The pulsed current-induced phase image demonstrated the feasibility to detect phase changes of the proton magnetic resonance signal that could mimic neuronal firing. At the present experimental setting, a magnetic field strength change of 1.7 +/- 0.3 nT can be detected. We also calculated the averaged value of the magnetic flux density BT parallel to B0 produced by electric current I inside the voxel as a function of the wire position. The results of the calculation were consistent with our observation that for the same experimental setting the current-induced phase change could vary with location of the wire inside the voxel. We discuss our findings in terms of possible direct MRI detection of neuronal activity.