基于MSE模型的高分辨率遥感图像变化检测

目前,传统高光谱分辨率遥感图像变化检测方法大多基于单一特征信息进行处理,没有综合影像所有特征信息,难以检测出完整的变化信息。为此,提出了一种基于多特征流形嵌入模型（multiview spectral embedding, MSE）的高分辨遥感图像变化检测方法,利用该模型对图像特征变化信息向量中所有的变化信息进行融合,获得完整的检测结果。实验结果表明,本文方法的检测精度好于传统的变化检测方法,并且稳定性良好。     

紫外高分辨率像散校正型罗兰全息光栅设计

为了降低紫外高分辨率罗兰光栅的像散对光谱像高展宽的影响,提出了在罗兰圆上使用球面波非对称曝光设计思路。推导完全校正离焦和子午彗差的表达式,讨论了多种罗兰光栅记录结构的局限性,优选适合校正紫外高分辨率罗兰光栅的优化方法。通过全息光栅像面展宽表达式, 指出像散和弧矢彗差是影响光谱像高的主要因素,并分配了两者的优化权重。利用这种优化思路,设计了工作波段110～200 nm紫外高分辨率罗兰光栅,同时对比分析了传统光栅的像差系数和像高变化规律、像面结构和光谱分辨率。结果表明,和传统罗兰光栅分辨率处于同一数量级的情况下,所设计光栅光谱像高由25 mm降低到1.5 mm,谱面能量集中度有显著的提高。     

Image fusion using non-separable wavelet frame

In this paper, an image fusion method is proposed based on the non-separable wavelet frame (NWF) for merging a high-resolution panchromatic image and a low-resolution multispectral image. The low-frequency part of the panchromatic image is directly substituted by multispectral image. As a result, the multispectral information of the multispectral image can be preserved effectively in the fused image. Due to multiscale method for enhancing the high-frequency parts of the panchromatic image, spatial information of the fused image can be improved. Experimental results indicate that the proposed method outperforms the intensity-hue-saturation (IHS) transform, discrete wavelet transform and separable wavelet frame in preserving spectral and spatial information.     

基于非对称密码系统的彩色图像加密技术

为了实现对彩色图像的加密,提出一种基于傅里叶变换和非对称密钥加密系统的加密方法。把彩色图像分成三基色分量:红,绿,蓝。然后对这3帧灰度图像的傅里叶频谱进行截取,合成一个目标图像,该目标图像包含了原始彩色图像的大部分信息。对此目标图像的幅度和相位分别用非对称密钥加密系统加密,即实现了彩色图像的加密。 给出了理论分析和计算机模拟结果,实验结果证实了该方法的可行性。     

Visual remote sensing image fusion using local correlation moment

In this paper a fusion method is proposed for merging a high-resolution panchromatic image and a low resolution multispectral image.The algorithm is based on discrete wavelet transform(DWT).It uses correlation moment rule to the low frequency bands and local deviation rule to the high frequency bands separately.Experimental results indicate that the proposed approach outperforms the traditional methods.     

Compressive sampling photoacoustic tomography based on edge expander codes and TV regularization

A new photoacoustic （PA） signal sampling and image reconstruction method, called compressive sampling PA tomography （CSPAT）, is recently proposed to make low sampling rate and high-resolution PA tomogra- phy possible. A key problem within the CSPAT framework is the design of optic masks. We propose to use edge expander codes-based masks instead of the conventional random distribution masks, and efficient total variation （TV） regularization-based model to formulate the associated problem. The edge expander codesbased masks, corresponding to non-uniform sampling schemes, are validated by both theoretical analysis and results from computer simulations. The proposed method is expected to enhance the capability of CSPAT for reducing the number of measurements and fast data acquisition.     

基于微位移技术提高CCD分辨率的方法

利用微小相对移动和计算机合成技术提高CCD等数字图像传感器分辨率是一个行之有效的方法.本文在这一技术的基础上,将CCD图像传感器按像元尺寸和不感光间隔尺寸二者之间的关系做出了分类,提出了适应更多图像传感器类型的高分辨率图像的获取方法和算法,并给出了某些类型的CCD图像传感器通过微位移方式提高分辨率的限度.计算机模拟和实验都验证了这种新方法的可行性.     

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).     

Mode-shape measurement of piezoelectric plate using temporal speckle pattern interferometry and temporal standard deviation

This study proposes an image processing method to improve the quality of interference fringes in mode-shape measurement using temporal speckle pattern interferometry. A vibrating piezoelectric plate at resonance was investigated, and the full-field optical information was saved as a sequence of images. According to derived statistical properties, an algorithm was developed to remove noise from both the background and disturbance, resulting in high-resolution images of excellent quality. In addition, the resonant frequency and mode shape obtained using the proposed algorithm demonstrate excellent agreement with theoretical results obtained by the finite element method.     

Single infrared image super-resolution combining non-local means with kernel regression

In many infrared imaging systems, the focal plane array is not sufficient dense to adequately sample the scene with the desired field of view. Therefore, there are not enough high frequency details in the infrared image generally. Super-resolution (SR) technology can be used to increase the resolution of low-resolution (LR) infrared image. In this paper, a novel super-resolution algorithm is proposed based on non-local means (NLM) and steering kernel regression (SKR). Based on that there are a large number of similar patches within an infrared image, NLM method can abstract the non-local similarity information and then the value of high-resolution (HR) pixel can be estimated. SKR method is derived based on the local smoothness of the natural images. In this paper the SKR is used to give the regularization term which can restrict the image noise and protect image edges. The estimated SR image is obtained by minimizing a cost function. In the experiments the proposed algorithm is compared with state-of-the-art algorithms. The comparison results show that the proposed method is robust to the noise and it can restore higher quality image both in quantitative term and visual effect.     

Method for eliminating zero-order diffraction in lensless Fourier transform digital holography

A method to induce phase shifting in lensless Fourier of digital holography system is presented. In this method, by computer simulation and theoretical analysis on the technology to eliminate the influence of zero-order diffraction in force, it can be found that, a reference light induced in a random non-2π integral number of phase shifting shooting to get the second hologram, and wave reconstruction can be got by the difference value image of the two holograms. And, the method of different digital holography record system with different phase shifting should be used. In this paper, theoretical analyses have been done in detail to discuss the problems that exist in the unsuitable phase-shifting methods. Furthermore, some experiments have been done to prove the reliability of this method. This method can significantly improve the image quality and give better resolution of the reconstructed image.     

Cryptanalysis on a novel image encryption method based on total shuffling scheme

A novel image encryption method based on a skew tent map is proposed recently. In this paper, some flaws of this algorithm are pointed out and then a chosen plaintext attack against it is presented. Both theoretical analysis and experimental simulation indicate that the plain image can be recovered exactly from the cipher image without the secret key. So it can be seen that this algorithm is not secure enough to be applied in network communication.     

一种TDI CCD亚像元图像合成方法

通过分析TDI CCD亚像元相机输出数据的空间和频谱特点,设计了亚像元插值算法,由相机输出的两幅原始图像经过插值融合处理得到一幅比原图像分辨率高的图像.仿真结果表明,该算法较其它算法得到的高分辨率图像的效果更佳,融合之后的图像比原图像分辨率提高至少1.4倍.     

Attack on double-random-phase-encoding-based image hiding method

The double-random phase-encoding (DRPE) technique is a typical optical image encryption technique, which can also be used for image hiding. Usually, the secret image is encrypted with the DRPE technique and the encoded image is hidden into the host image via superimposition to obtain the stego-image. The attack technique on the DRPE-based image hiding method was proposed in this paper. Firstly, a randomly selected superimposition coefficient was used to approximate the original superimposition coefficient to extract the hidden encoded images from the stego-images approximately. Then, the chosen-plaintext attack technique on the DRPE-based optical image encryption technique was applied to recover the random phase masks used in the DRPE technique. The theoretical analysis indicated that, without considering the computational error, the recovered secret image via the proposed attack technique is identical to the original one. Even considering the computational error, it is identical to the secret image recovered with the original DRPE-based image hiding method, which demonstrates that the attack on the DRPE-based image hiding method is successfully achieved. The numerical simulation results demonstrated the correctness of the theoretical analysis.     

一种多光谱与高分辨率全色图像融合新算法

提出了一种新的基于小波变换的多光谱与高分辨率图像融合方法.该方法通过强度因子有效地将高分辨率图像经小波分解的低频分量信息融合到多光谱图像经小波分解的低频分量中去,使得经过小波反变换的融合图像较大程度地保留了多光谱图像的光谱信息和高分辨率图像的空间分辨率.给出了该方法的融合结果,并与小波变换法(WT方法)进行了比较,证明了该图像融合方法的正确和有效性.     

基于最小Csiszár’s I-散度的高精度深度定位方法*

模态波束形成技术可用于水下目标定位,在深度定位方面,其定位精度(百米量级)往往不能满足实际需求;因此,高精度的深度定位方法需要被探索。传统高精度估计方法,如最小方差无畸变响应,面临着许多问题,如需要大量的快拍样本数等。最小Csiszár’s I-散度的迭代算法可以解决线性系统的求逆问题,但需满足系统的非负性条件,在图像的去模糊领域已得到广泛应用。该文将此算法和模态波束形成技术相结合,提出了一种新的高精度深度定位方法。基于SWellEx-96实验的海洋环境参数,分别用仿真和实验数据验证了该方法的以下性能：实现深度的高精度定位且抑制旁瓣能量;在小快拍数的情况下,深度定位性能良好。     

分波段照明法实现单透镜大景深成像

基于透镜色散原理,提出了运用分波段照明法扩大单透镜成像景深的方法.理论推导出物距和照明光波长之间存在正相关关系,据此选择相应波段的照明光源,通过照明光学设计,使不同物距的物体均能清晰成像在同一像面上.ZEMAX软件模拟结果与理论分析吻合.采用自行设计的图像采集系统,只用一个35mm焦距普通双凸透镜进行实验测试.人眼主观和专业软件测试结果均表明:采用分波段照明方式比用白光照明景深扩大81.8%,分辨率最大提升200.3%;比只用单色光照明景深扩大了93.6%,分辨率最大提升189.7%.     

基于图像质量评价的手术机器人系统磁共振兼容性分析方法

为保证手术安全及操作精度,基于磁共振图像导航的手术机器人系统需具备磁共振设备兼容性. 针对这一问题,本文提出了基于磁共振图像质量评价的手术机器人系统磁共振设备兼容性分析方法,扩展了图像数据集,并结合图像信噪比、图像变化因数、磁共振图像畸变量等评价参数,逐一分析机器人系统组件通电、机器人系统运动对磁共振图像质量产生的影响,建立图像质量评价依据. 实验结果表明,该质量评价方法可充分分析手术机器人及其系统组件的磁共振兼容性,且可为医疗手术机器人系统组件的磁共振兼容性分析提供测试方法与理论依据.     

基于双阈值Huber范数估计的图像正则化超分辨率算法

多帧图像超分辨率算法利用图像间的互补信息, 可以从一系列具有亚像素位移的低分辨率影像数据中重建出高分辨率图像. 在众多超分辨率算法中, 正则化方法以其求解病态问题的有效性而被广泛应用, 但在此类方法中, 最优估计算子的估计准确度对最后的重建结果有着较大的影响. 本文在现有正则化超分辨率重建算法的基础上, 提出了一种基于双阈值Huber范数的极大似然估计算子, 可以提高Huber范数对于阈值取值的容忍性和算子估计精度; 并给出了基于该算子的正则化超分辨率算法的迭代公式. 通过对仿真图像进行重建, 结果表明算法可有效地抑制各种噪声并保证重建效果; 同时将此算法应用于实际图像的超分辨率重建, 有效地提高了目标影像的空间分辨率. 关键词： 图像处理 图像重建 超分辨率 正则化     

数字全息再现像中零级干扰噪声消除及图像增强研究

利用基于图像处理的微分梯度方法预先对数字全息图进行空间域的图像增强操作,可以达到消除全息再现时的零级衍射干扰的目的.它无需其它辅助设备或多次全息记录,是一种方便简洁的处理方法.在理论分析和数字再现结果中都表明,该方法不仅能够有效地消除零级衍射像,同时对于真实像的再现质量有着显著提高.