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.     

基于分块离散小波变换的图像信息隐藏与盲提取算法

提出了一种在小波域中图像信息隐藏与盲提取算法. 该算法首先对载体图像进行分块两层离散小波变换, 找到每块第二级分解子带中的最大值即最重要小波系数, 然后根据小波特征树的对应关系将其在第一级分解子带中的对应区域作为嵌入区域, 在该区域嵌入由秘密信息生成的伪随机序列. 提取过程中, 同样按照小波系数对应关系寻找到嵌入区域并判断其与伪随机序列的相关性即可解密, 不需要提供原始图像. 实验结果表明, 该算法能实现二值图像的嵌入与盲提取, 且提取出的图像质量较好并具备一定的抗攻击能力, 尤其对于剪切攻击的鲁棒性较好.     

Asymmetric multiple-image hiding using phase retrieval technique based on amplitude- and phase-truncation in fractional Fourier domain

We propose a multiple-image hiding scheme based on the amplitude- and phase-truncation approach, and phase retrieval iterative algorithm in the fractional Fourier domain. The proposed scheme offers multiple levels of security with asymmetric keys. Multiple input images multiplied with random phase masks are independently fractional Fourier transformed with different orders. The individual keys and common keys are generated by using phase and amplitude truncation of fractional spectrum. After using two fractional Fourier transform, the resultant encrypted image is hided in a host image with phase retrieval iterative algorithm. Using the correct universal keys, individual keys, and fractional orders, one can recover the original image successfully. Computer simulation results with four gray-scale images support the proposed method. To measure the validity of the scheme, we calculated the mean square error between the original and the decrypted images. In this scheme, the encryption process and generation of decryption keys are complicated and should be realized using computer. For decryption, an optoelectronic setup has been suggested.     

Security analysis and improvement on a double-random phase-encoding technique based information hiding method

The security of an information hiding method using the double-random phase-encoding technique is analyzed and improved. The method encodes the hidden image with the double-random phase-encoding technique, and then embeds the real and imaginary parts of the encoded image to an enlarged host image. Recovering the hidden image from the composed image does not need the original host image, while the quality of the reconstructed image is satisfying. However, the original method is insecure in the sense of information hiding, since the composed image can be detected easily with some technical metrics. The security is improved by adding random perturbation on the encoded data. The validity of the improved method is demonstrated by numerical simulation experiments.     

有损压缩JPEG在相移法位相解调的应用评估

探讨了基于JPEG的有损压缩方法在相移法位相解调中的应用前景。简介了当今流行的JPEG有损压缩技术和相移技术。针对三维测量中的相移技术,使用专业软件对四步相移法中拍摄的图像进行各种压缩比的压缩,解压后再解调出相位,与未经压缩的原图解调出的相位进行比较。指出图像的压缩对于相位的解调是有影响的,尤其是对于图像的边缘部分,变化较大,噪声较强,压缩丢失信息,解压后解调出的相位误差较大,但随着压缩比的下降,压缩质量的提高,解调出的相位误差不断下降。     

采用整体最小二乘法的条纹图配准方法

针对共光路菲索型动态干涉仪采集到的4幅条纹图的空间一致性问题,本文提出一种新的条纹图配准思路,将条纹图与图像配准在关联度上人为分开,搭建了专用的图像配准装置,避免将条纹与十字丝标志点混在一幅图像内而影响干涉仪的测量精度。首先通过本文搭建的条纹图配准装置对4台CMOS相机进行物理配准,然后利用整体最小二乘法对采集到的同一十字丝刻划板图像进行十字丝提取、交点计算以及旋转量计算,实现共光路菲索型动态干涉仪条纹图像的点点对应。最后通过试验对比验证,证明了本文算法的配准精度优于模板重心法的配准结果,互相关度达到96%以上。     

Double random phase encoding method using a key code generated by affine transformation

We present a 4f optical security scheme by using a key code mask generated by an affine transformation operation. The key encrypting code produced through a pseudo-random pattern generated from a source image depends on the affine transformation parameters and the iteration number that control its random properties. This procedure offers the advantage over the conventional double random phase mask encryption technique that we do not need to send the encrypting mask itself to the authorizer user, but the set of elements that leads to the construction of the key code mask.     

基于相位一致性和Hough变换的多源图像配准方法

由于红外图像与可见光图像对比度不同,常用基于梯度幅值的特征匹配方法难以正确配准。在分析红外图像与可见光图像成像机制的基础上,提出了一种结合相位一致性边缘检测与Hough变换的多源图像配准新方法。该算法首先采用高通滤波和平台直方图均衡方法对红外图像进行预处理以提高红外图像的对比度,再利用具有图像对比度不变性的相位一致性边缘检测法提取两幅图像的边缘,结合Hough变换选取图像空间中最长的线作为特征,采用改进相位相关法作为相似性度量,在对数极坐标域下计算出两幅图像的几何变形参数。仿真实验结果表明,该方法能够以较高查准率实现红外与可见光图像自动配准,并具有较强的鲁棒性。     

A novel image fusion method using WBCT and PCA

A novel image fusion algorithm based on wavelet-based contourlet transform （WBCT） and principal component analysis （PCA） is proposed. The PCA method is adopted for the low-frequency components. Using the proposed algorithm to choose the greater of the active measures, the region consistency test is performed for the high-frequency components. Experiments show that the proposed method works better in preserving the edge and texture information than wavelet transform method and Laplacian pyramid （LP） method do in image fusion. Four indicators for the fusion image are given to compare the proposed method with other methods.     

像增强器信噪比测试方法的分析与研究

通过对像增强器信噪比常用测试方法的研究与分析,提出了一种对CCD摄像机采集的图像进行处理的新的信噪比测试方法,解决了在常用信噪比测试方法中待测参数多、采用测试仪器多的问题。利用新的测试方法和搭建的实验系统不仅实现了数据的统一处理,而且还可以分析照度与信噪比的关系。     

结合光源分割和线性图像深度估计的夜间图像去雾

夜间有雾图像通常具有对比度低、光照不均匀、颜色偏移以及噪声较多等现象,这些退化现象使得夜间图像去雾具有极大的挑战性。针对夜间图像存在的退化问题,本文提出了一种能够在夜间图像中有效去雾并提高图像质量的方法。首先,将图像分解成光晕层和有雾层,并对有雾层进行颜色校正。其次,通过一种新提出的带有伽马变换的图像光源分割方法来分割光源,并设置分割阈值作为像素点属于光源区域的概率值。然后,将得到的概率值与最大反射先验相结合来估计光源和非光源区域的大气光值。最后,根据图像深度与亮度、饱和度以及梯度之间的关系建立线性模型,进一步估计透射率的值。实验得到的分割阈值为0.07,线性深度估计参数分别为1.026 7、-0.596 6、0.673 5、0.004 135。实验结果表明本文方法在夜间图像去雾、消除光晕、减少噪声,以及提高可视度方面取得良好的效果。     

Security enhancement for double-random phase encryption using orthogonally encoded image and electronically synthesized key data

We propose a security-enhanced double-random phase encryption(DRPE) scheme using orthogonally encoded image and electronically synthesized key data to cope with the security problem of DRPE technique caused by fixed double-random phase masks for encryption. In the proposed scheme, we adopt the electronically synthesized key to frequently update the phase mask using a spatial light modulator, and also employ the orthogonal encoding technique to encode the image and electronically synthesized key data, which can enhance the security of both data. We provide detailed procedures for encryption and decryption of the proposed scheme, and provide the simulation results to show the encryption effects of the proposed scheme.     

大学物理课程内容与教学模式整合目的、方法及要点

介绍了大学物理课程内容与教学模式整合的目的、方法和要点.整合有效地改变了教学过程中教师、学生、课程之间缺乏联系的现状,建构了多层次、多形式的人才培养模式,体现了以学为本、因材施教的教育理念.     

双机IRST配准融合图像的弱小目标检测方法

针对单机红外搜索跟踪（IRST）系统探测距离和精度有限,得到的红外图像在杂乱背景和强噪声环境中弱小目标难以检测的问题,采用双机IRST对同时刻同目标区域探测后的图像进行配准融合,融合过程中采用高频基于区域、低频基于像素的多规则算法,提出一种基于小波变换与边缘信息表征的目标检测方法。仿真实验表明,多规则融合算法使图像质量评价指标提高了30%～50%,该目标检测方法可有效剔除虚假目标及滤除杂波干扰,从融合滤波前的7个减少到3个,虚警率降低,有助于弱小目标更为精确的检测识别。     

An autonomous surface discontinuity detection and quantification method by digital image correlation and phase congruency

Digital image correlation has been routinely used to measure full-field displacements in many areas of solid mechanics, including fracture mechanics. Accurate segmentation of the crack path is needed to study its interaction with the microstructure and stress fields, and studies of crack behaviour, such as the effect of closure or residual stress in fatigue, require data on its opening displacement. Such information can be obtained from any digital image correlation analysis of cracked components, but it collection by manual methods is quite onerous, particularly for massive amounts of data. We introduce the novel application of Phase Congruency to detect and quantify cracks and their opening. Unlike other crack detection techniques, Phase Congruency does not rely on adjustable threshold values that require user interaction, and so allows large datasets to be treated autonomously. The accuracy of the Phase Congruency based algorithm in detecting cracks is evaluated and compared with conventional methods such as Heaviside function fitting. As Phase Congruency is a displacement-based method, it does not suffer from the noise intensification to which gradient-based methods (e.g. strain thresholding) are susceptible. Its application is demonstrated to experimental data for cracks in quasi-brittle (Granitic rock) and ductile (Aluminium alloy) materials.     

Color image edge detection method using VTV denoising and color difference

The traditional Canny edge uses Gaussian filter to suppress the noise, it also smoothes out the image edges. An improved Canny edge detection method for color image is proposed in this paper, the improved method uses fast vectorial total variation (VTV) minimization model to remove noise in color image, and then calculates the color difference and direction in CIELAB color space, which is used for non-maximal suppression. Finally, the improved method extracts the edges by the double-threshold method. The experimental results show that the proposed method achieves better performance than the traditional Canny edge detector. It can remove noise while preserving the image edges, and effectively detect the image edges.     

Acoustic streaming in lithotripsy fields: preliminary observation using a particle image velocimetry method

This study considers the acoustic streaming in water produced by a lithotripsy pulse. Particle image velocimetry (PIV) method was employed to visualize the acoustic streaming produced by an electromagnetic shock wave generator using video images of the light scattering particles suspended in water. Visualized streaming features including several local peaks and vortexes around or at the beam focus were easily seen with naked eyes over all settings of the lithotripter from 10 to 18 kV. Magnitudes of the peak streaming velocity measured vary in the range of 10-40 mm s(-1) with charging voltage settings. Since the streaming velocity was estimated on the basis of a series of the video images of particles averaged over 1/60s, the time resolution limited by the video frame rate which is 1-2 orders of magnitude larger than driving acoustic activities, measured velocities are expected to be underestimated and were shown a similar order of magnitude lower than those calculated from a simple theoretical consideration. Despite such an underestimation, it was shown that, as predicted by theory, the magnitude of the streaming velocity measured by the present PIV method was proportional to acoustic intensity. In particular it has almost a linear correlation with peak negative pressures (r=0.98683, p=0.0018).     

Experimental analysis of interface contact behavior using a novel image processing method

The spatial and temporal evolution of real contact area of contact interface with loads is a challenge. It is generally believed that there is a positive linear correlation between real contact area and normal load. However, with the development of measuring instruments and methods, some scholars have found that the growth rate of real contact area will slow down with the increase of normal load under certain conditions, such as large-scale interface contact with small roughness surface,which is called the nonlinear phenomenon of real contact area. At present, there is no unified conclusion on the explanation of this phenomenon. We set up an experimental apparatus based on the total reflection principle to verify this phenomenon and analyze its mechanism. An image processing method is proposed, which can be used to quantitative analysis micro contact behaviors on macro contact phenomenon. The weighted superposition method is used to identify micro contact spots, to calculate the real contact area, and the color superimposed image is used to identify micro contact behaviors.Based on this method, the spatiotemporal evolution mechanism of real contact area nonlinear phenomena is quantitatively analyzed. Furthermore, the influence of nonlinear phenomenon of real contact area on the whole loading and unloading process is analyzed experimentally. It is found that the effects of fluid between contact interface, normal load amplitude and initial contact state on contact behavior cannot be ignored in large-scale interface contact with small roughness surface.     

Profile measurement of a one-dimensional phase boundary sample using a single shot phase-step method

Phase shifting interferometry is a preferred technique for high-resolution phase profile measurement, but the difficulty in generating the requested shifted pattern has limited the use of the technique to low-noise environment and in case accurate calibration of the phase shifting device is available. In the present experiment, a sample having one-dimensional straight phase boundary is mounted in one arm of an interferometer. One single image of the fringe pattern is recorded, a simple image process is applied generating phase shifted patterns from the original image. Using the appropriate phase shift algorithms, a phase map of the sample is obtained which gives a quantitative measurement of the topographical structure with the resolution of the phase shift method but a single shot recorded pattern.     

Experimental study on the micromechanical behavior of a PBX simulant using SEM and digital image correlation method

The micro-scale mechanical behavior of a polymer-bonded explosive (PBX) simulant was experimentally studied using a scanning electron microscope (SEM) imaging system and digital image correlation (DIC) method. The semi-circular bend (SCB) test was chosen for the study. During the testing, a series of SEM images of the specimen was acquired in situ. The natural micro-structural features of the specimen were used as random speckle pattern for DIC analysis. The displacement and strain fields at the area of interest were obtained by DIC. The deformation and damage of PBX were analyzed. Heterogeneous strain fields demonstrated the damage evolution underneath the specimen surface and predicted possible micro-crack growth. Based on the contour plots of the correlation coefficient, the formation and extension of microscopic cracks were quantitatively analyzed.