A pose‐invariant approach for hypothesis support

This article presents a tractable and empirically accurate algorithm realizing a midlevel visual process for pattern recognition. The algorithm takes advantage of hypotheses provided by a high‐level visual process, thereby, attempting to extract a region in an image based on these hypotheses. The main focus is to recognize quadrilateral as well as arbitrarily shaped objects from synthetic and real‐world images. The novel approach is based on a study of the Hough Transform and its generalized version. To show overall usefulness of the algorithm, an extensive series of experiments was performed. In particular, occlusion and multiple object‐instances were tested, indicating the effectiveness of this work's approach.© 2003 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 13, 201–207;2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.10056     

连续小波变换在函数空间中的应用

某些微分方程和相应的积分方程之间的关系被讨论；这些微分方程通过边境小波变换可被转换成相应的积分方程，它们不仅在弱收敛意义下而且在范围数收敛意义下是等价的；关于这些微分方程的讨论就与相应的积分方程的讨论联系起来。     

傅里叶-小波正则反卷积医学超声成像方法

研究了利用傅里叶-小波正则反卷积改善医学超声图像质量的方法。将高阶谱方法和傅里叶-小波正则反卷积算法创新地用于医用超声诊断仪的轴向和纵向的二维射频信号,首先估计出中心频率为3.5MHz的A扫描系统函数,然后应用对射频A扫信号进行反卷积成像。实验结果表明,该方法显著改善了因系统函数与被测信号卷积所产生的分辨率退化现象,极大地提高了医学超声图像的分辨率和信噪比。     

小波变换域双谱分析及其在滚动轴承故障诊断中的应用

工程信号不仅会受到高斯噪声干扰，而且也会受到非高斯噪声干扰。而传统双谱分析方法从理论上仅能抑制高斯噪声，但对非高斯噪声是无能为力的。针对传统双谱存在的不足，将小波变换和双谱分析结合，提出了一种基于小波变换域非参数化双谱故障诊断方法，并应用到滚动轴承故障诊断中。考虑到滚动轴承信号幅值调制特点，在本方法中，对处理信号采用了希尔伯特变换技术，以进行解调。实验结果表明，小波域双谱优于传统双谱，特别是在非高斯噪声情况下，小波域双谱更有优势；研究为滚动轴承故障诊断提供了一种新的有效方法。     

基于BSVD分解和Radon变换的NSCT域鲁棒水印算法

目的 为了提高水印算法的不可见性及抗旋转攻击的能力,提出一种基于BSVD分解和Radon变换的NSCT域鲁棒水印算法。方法 首先对水印图像进行Arnold变换,然后对载体图像进行NSCT变换,接着对低频子带进行不重叠分块,最后对各子块进行BSVD分解,选择合适的缩放因子,将水印嵌入奇异矩阵的最大奇异值中。提取水印时,先用Radon变换对含水印信息的载体图像进行校正,再提取出水印信息。结果 实验显示,文中算法具有很好的不可见性,PSNR值均在60 dB之上,并且能够抵抗常规信号的攻击,NC值均大于0.95。结论 该水印算法具有良好的不可见性和鲁棒性,抵抗旋转攻击的能力较强。     

一种抽样小波域的遥感影像融合新方法

针对传统图像融合方法的不足,提出了一种新的基于IHS变换与抽样小波变换的高清晰遥感影像融合方法.该方法将直方图匹配后的全色影像的高频系数作为融合后的高频系数,而融合后的低频系数依据新提出的融合规则得到,最后采用小波逆变换与逆IHS变换获得融合图像.实验结果表明,该方法在提高融合影像的空间分辨率与光谱质量之间得到了更好的折衷.该方法的计算复杂度接近于常用的基于抽样小波变换的融合方法,明显少于基于非抽样小波变换的融合方法.     

《强电磁噪声环境下提取局部放电信号方法的研究》

近年来,越来越多的实际应用显示,在强噪声环境下,只用小波变换去噪有可能带来波形畸变。相比之下,快速傅里叶变换可以用于去除窄带干扰,但它不能去除白噪声。因此,本文在综合二者优缺点的基础上,提出基于FFT自动阈值滤波法和小波变换的联合去噪技术。即先用FFT自动阈值滤波法去除部分窄带干扰,提高信噪比,继而使用小波变换将白噪声和残余窄带干扰一并滤除。仿真结果和实际应用表明,此法能有效地从较强噪声环境中提取出局部放电信号。     

印刷中感光乳剂的调制传递函数(MTF)应用及计算

介绍了MTF的概念,以及MTF在印刷版材感光乳剂中的应用,并以这个为基础,重点分析了正弦波,线扩散函数的傅立叶转换和相干光处理3种方法,特别讨论图像传递过程中的非线性影响.通过对比,指出了3种方法各自的特点以及测量MTF所需的不同条件.最后总结出了MTF精确度的影响因素,能够在合适的条件下给出一个最有效的印刷版材感光乳剂的调制传递函数, 从而保证印刷图像传递的品质.     

Solution of arbitrarily dimensional matrix equation in computational electromagnetics by fast lifting wavelet‐like transform

A new wavelet matrix transform (WMT), operated by lifting wavelet‐like transform (LWLT), is applied to the solution of matrix equations in computational electromagnetics. The method can speedup the WMT without allocating auxiliary memory for transform matrices and can be implemented with the absence of the fast Fourier transform. Furthermore, to handle the matrix equation of arbitrarily dimension, a new in‐space preprocessing technique based on LWLT is constructed to eliminate the limitation in matrix dimension. Complexity analysis and numerical simulation show the superiority of the proposed algorithm in saving CPU time. Numerical simulations for scattering analysis of differently shaped objects are considered to validate the effectiveness of the proposed method. In particular, due to its generality, the proposed preprocessing technique can be extended to other engineering areas and therefore can pave a broad way for the application of the WMT. Copyright © 2009 John Wiley & Sons, Ltd.     

一种小波和余弦变换组合域内鲁棒的自适应零水印算法

克服了传统数字水印方案在嵌入水印时要对原始图像数据进行一定修改从而导致嵌入水印图像质量下降的局限性,提出了一个基于离散小波变换和离散余弦变换组合域内鲁棒的自适应零水印算法.算法首先对原始数字图像进行适当层次的离散小波变换,并对得到的小波逼近子图进行离散余弦变换,然后依据待嵌入二值字符水印的大小和相应的系数差值要求自适应...     

正交傅里叶－梅林矩变换在光学模式识别中的应用

本文中研究了正交傅里叶－梅林矩变换在光学模式识别中的应用，并用正交傅里叶－梅林矩变换表示了平移、比例、旋转、强度这四种畸变。通过适当的归化处理，正交傅里叶－梅林矩变换能解决所有这四种畸变不变识别。此外，研究了基于正交傅里叶－梅林矩变换的光学相关模式识别的实现问题     

Two finite inverse Hilbert transform formulae for region‐of‐interest tomography

Recently we published two explicit formulae for finite inverse Hilbert transforms (You and Zeng, Inv Probl 22 (2006), L7‐L101). This paper presents a straightforward proof of the formulae, the data requirements, and some computer simulations to verify the formulae. Examples of region‐of‐interest tomography using truncated projections and the first formula of the finite inverse Hilbert transform are shown. © 2007 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 17, 219–223, 2007     

Analysis of effect of cycle spinning on wavelet- and curvelet-based denoising methods on brain CT images

The purpose of this paper is to carry out the assessment of effect of cycle spinning on wavelet- and curvelet-based noise reduction methods on brain CT images. In particular, multiscale curvelet- and wavelet-based denoising methods are evaluated with and without cycle spinning. This assessment is focused not only on the noise suppression but also on fine details preservation. The experimental results show that the cycle spinning-based curvelet method outperforms not only other curvelet-based methods but also the wavelet-based methods. The quality assessment parameters taken in this paper are signal-to-noise ratio (SNR), peak-signal-to-noise ratio (PSNR), universal quality index (UQI), structural similarity index metrics (SSIM), and edge keeping index (EKI).     

图像对比度增强的非线性变换法

对原始图像用所提出的判据判断图像的对比度类型,针对不同类型直接确定灰度变换参数,实现图像全局对比度增强。再对图像进行离散平稳小波变换,利用所提出的非线性增强方法分别对各个分解层的高频子带进行细节增强。实验表明,提出的方法在有效提高图像整体对比度的同时,又能突出图像中目标的细节部分信息。     

Flexible multiple-image encryption algorithm based on log-polar transform and double random phase encoding technique

We present a novel multiple-image encryption algorithm by combining log-polar transform with double random phase encoding in the fractional Fourier domain. In this algorithm, the original images are transformed to annular domains by inverse log-polar transform and then the annular domains are merged into one image. The composite image is encrypted by the classical double random phase encoding method. The proposed multiple-image encryption algorithm takes advantage of the data compression characteristic of log-polar transform to obtain high encryption efficiency and avoids cross-talk in the meantime. Optical implementation of the proposed algorithm is demonstrated and numerical simulation results verify the feasibility and the validity of the proposed algorithm.     

QR code-based non-linear image encryption using Shearlet transform and spiral phase transform

In this paper, we propose a new quick response (QR) code-based non-linear technique for image encryption using Shearlet transform (ST) and spiral phase transform. The input image is first converted into a QR code and then scrambled using the Arnold transform. The scrambled image is then decomposed into five coefficients using the ST and the first Shearlet coefficient, C₁ is interchanged with a security key before performing the inverse ST. The output after inverse ST is then modulated with a random phase mask and further spiral phase transformed to get the final encrypted image. The first coefficient, C₁ is used as a private key for decryption. The sensitivity of the security keys is analysed in terms of correlation coefficient and peak signal-to noise ratio. The robustness of the scheme is also checked against various attacks such as noise, occlusion and special attacks. Numerical simulation results are shown in support of the proposed technique and an optoelectronic set-up for encryption is also proposed.     

三维数字循环卷积的二元多项式变换算法研究

对三维数字循环卷积的二元多项式变换算法详细进行了研究和改进,并给出了运算量的估算。我们将看到,改进后的算法对N1×N2×N3的三维复序列的数字循环卷积约需2N1N2N3logN1-8N1N2N3次实乘和4N1N2N3logN1N2N3-N23logN3+2N23次实加,与FFT、FPT方法比较,所需运算量减少。     

基于Contourlet变换尺度间相关的图像去噪

Contourlet域数据分析表明,信号的变换域系数在尺度间相关性高,而白噪声则呈弱相关或不相关。通过相关性强弱区分噪声与信号系数,并结合阈值函数,提出了基于Contourlet变换尺度间相关的图像去噪新算法。实验结果表明,新方法去噪后的图像比小波相关去噪算法的PSNR值更高,视觉效果更好,尤其适用于纹理轮廓丰富的图像去噪。     

3种频域数字水印算法的分析和比较

阐述了离散傅里叶算法(DFT)、离散余弦算法(DCT)、离散小波变换算法(DWT)这3种常用的频域数字水印算法的原理,并分别采用不同算法对数字图像进行了水印嵌入,检测其峰值信噪比(PSNR)和相关系数(NC)的值,分析并比较了这3种算法的优缺点,证明了离散小波变换在频域算法中能够得到最好的效果。     

基于Gabor-Hough变换二值积累的空中声源过顶检测研究

从航空声源水下声场建模出发,提出了对运动声源过顶信号检测的Gabor-Hough变换二值积累检测算法.声源激发的水下过顶信号在短时间内可以用线性调频信号提供良好的近似,采用Gabor-Hough变换将过顶信号的检测转化为参数空间中的局部峰值检测,而Gabor-Hough变换对强分量杂波掩盖下的弱分量检测能力有限,针对空中声源辐射噪声能量差别较大的特点,提出了二值积累方法检测声源激发的水下信号,仿真实验结果验证了该算法的有效性.