基于脊波变换的扩频水印算法

针对脊波变换域比小波变换域更适合表示图像线状边缘的奇异性的特征,本文设计出一种新的图像水印算法,即将图像分块脊波变换,在脊波变化域上的高频系数中加性地嵌入经零均值互不相关伪随机序列扩频调制后的水印。实验结果表明,本文算法不仅可以抵抗如压缩、加噪、滤波和剪切等各种常见攻击,还能抵抗图像灰度增强和减弱攻击,与小波域水印算法的比较也说明了本文算法的优势。     

架构于双树轮廓波及GGD模型的纹理图像检索

提出一种基于双树轮廓波变换的纹理图像检索方法.双树轮廓波由塔型双树方向滤波器组构建,它保持了轮廓波灵活的方向选择性,同时克服了传统轮廓波不具有移不变性的缺点.根据双树轮廓波系数的统计特性,本文利用广义高斯分布对各子带进行建模,采用矩估计法提取模型参数,并用KL距离度量图像之间的相似度,实现纹理图像检索.为评价检索性能,从Brodatz图库创建了包含800幅纹理图像的数据库.实验结果表明,本文算法的平均检索率比基于小波和轮廓波的方法分别提高了10.46%和6.94%,而且保持了较高的计算效率.     

基于改进零树小波的红外图像盲水印算法

提出了一种小波域自适应盲水印算法,采用（7,4）汉明码技术进行纠错编码。基于整数小波变换,在中高频区采用不重复零树小波编码,自适应的量化小波系数,将水印嵌入到重要系数上。水印提取过程不需要原始图像的参与。实验结果表明,算法自适应性强,实现速度快,具有较好的不可见性,对常见的JPEG压缩、滤波、加噪、剪切等攻击具有较强的鲁棒性。     

一种基于SPIHT和匹配追踪的图像编码方法——SPMP算法

为了更好地利用图像的结构特征,提高图像重建的质量,提出了一种基于多级树集合划分(SPIHT)和匹配追踪(MP)的分层图像编码方法--(SPMP)算法.该方法首先采用拉普拉斯金字塔(Laplacian Pyramid)算法将原始图像分解成低频平滑层和高频细节层,然后使用离散小波变换和SPIHT算法编码图像的低频成分,使用...     

基于DT-CWT和SVM的纹理分类算法

提出了一种基于双树复数小波变换(DT-CWT)和支持向量机(SVM)的纹理分类算法.双树复数小波变换不仅具有实数小波的诸多优点,而且还具有近似平移不变性、良好的方向选择性和低冗余度,并且能对图像进行完全重构,能够更好地刻画纹理的特性;支持向量机算法是近年发展起来的性能优越的分类算法,比传统分类器有很大的优越性:避免了局部最优解和"维数灾"问题,其最优分类超平面的思想能够提高分类准确度.该方法用双树复数小波对纹理图像进行滤波并在各方向子带上进行重构,再计算其局部能量函数得到每个像素的特征向量,最后利用支持向量机算法实现对纹理图像像素的分类.将本方法与其它的分类算法进行比较,实验结果表明,提出的算法能有效地提高正确分类率.     

一种利用离散余弦变换频谱图和小波变换图像编码的语音编码算法

语音、图像编码技术是现代数字通信的核心技术,通常是分开进行的,提出了一种利用二维DCT频谱图和小波变换图像编码的语音编码算法.深入分析了算法实现的关键技术——语音信号的二维DCT频谱图,仿真实现了该编码算法,对一段语音的处理结果表明,小波分解系数置零率为83.1941％,压缩后保存能量92.0867％,合成语音达到“优...     

带噪图像的多阈值零树编码方法

零树编码利用一固定量化阈值对系数进行扫描,而多阈值零树编码将小波分解后各子带的最大系数作为该子带的扫描阈值,将扫描阈值大于量化阈值的子带作为重要子带,反之作为次要子带。只在重要子带中判断其是否存在重要系数。针对含有高斯白噪声的图像,引入混合降噪模型对各子带的扫描阈值进行修正,有效地提高了编码图像质量和编码效率。     

扩展方向树的遥感图像小波包压缩算法

针对遥感图像纹理丰富、空间相关性弱,普通压缩算法容易造成高频信息丢失的特点,本文利用小波包优良的高频分析能力,提出一种结合SPIHT的小波包编码算法.该算法采用类似SPIHT算法的零树结构,通过重新定义方向树,即扩展方向树,改变小波包各节点之间的对应关系,解决小波包分解时产生的"父冲突"问题.同时,对扩展方向树的合理性进行了实验验证,并结合SPIHT算法实现了整个编解码.实验结果表明,对于富含纹理的遥感图像,在1bpp的压缩率下,该算法峰值信噪比(PSNR)超出SPIHT算法0.5-1dB,且视觉效果更好.     

基于多分辨率分析的数字图像自动聚焦算法研究

本文提出一种基于小波变换的多分辨率分析方法来实现数字图像自动聚焦的新算法。本算法通过对小波变换后清晰图像和模糊图像的高频系数的能量值进行计算比较，从而可以判断图像是否聚焦。计算机仿真也证实了该算法的正确性和有效性。     

一种基于小波特征的彩色图像分割算法

利用小波变换的多尺度对图像纹理特征良好表达的特点,用小波变换提升算法图像纹理特征进行提取,从而达到较好的分割效果。     

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     

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。     

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).     

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。     

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.     

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。     

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.     

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。     

Continuous Wavelet Transformation in Processing Electrocardiograms in Ventricular Arrhythmia

It is shown that wavelet analysis can be used to process medical data (in particular ECGs) as being more promising than other methods, since it allows one to observe key diagnostic features and obtain a time-frequency characterization.