基于DCT变换的码分多址图像数字水印算法

目的为得到一种新的鲁棒数字水印算法。方法应用CDMA技术,通过合理选取扩频码以及合理挑选图像子块,实现在图像DCT域嵌入有意义二值图像水印,保证水印的不可见性;充分利用所选取扩频码相关函数的特性,在有原始宿主图像参与的情况下实现水印的快速提取。结果给出了算法的分析和实现步骤,最后的仿真实验表明了算法的有效性。结论与已有方法比较,所得算法可实现较大数据信息的嵌入,并且对于JPEG压缩、噪声、滤波以及中心剪切等操作具有较强的鲁棒性。     

基于小波变换的期权市场中的时间价值序列预测

目的试探利用小波变换研究预测期权市场中时间价值序列。方法提出了基于小波变换的期权市场中的时间价值序列预测方法。结果实际分析表明所设计的预测方法是有效的。结论它同传统的预测方法相比较具有较高的可靠性,且有很好的应用前景。     

基于小波变换和可操纵金字塔算法的图像纹理分析

本文首先介绍了图像小波变换和可操纵金字塔在图像处理问题中的广泛应用及其数学原理和特点,对二者进行比较,然后分别利用小波变换和可操纵金字塔滤波器进行图像纹理分析,最后给出了结果,并进行分析。     

基于小波分析理论及其数字滤波的应用研究

系统分析了小波变换的物理意义和特点,包括积分小波变换、二进小波变换和小波的分解重构。并进一步将小波变换原理应用于微机保护数字滤波器。可得出基于小波变换的微机保护数字滤波器具有傅里叶变换不可比拟的优越性,可以准确地滤除信号中的直流分量和高频分量。     

基于HOUGH变换的二维条码识别技术的研究

条形码在日常生活中具有广泛的用途,但常用的一维条形码存在信息含量小的缺点,已不能满足实际的需要,因此,二维条码技术应运而生。本文研究了关于Data Matrix二维条形码自动识别的相关技术,包括对二维条形码图像的预处理、图像的提取及其译码等,并通过实验模拟得到了很好的实验结果,实现了Data Matrix二维条形码的自动识别过程。     

Blurred Defocused Image Restoration Based on FRFT

A technique for restoring the blurred image resulted from defocusing of the lens is proposed in this paper, which is based on fractional Fourier transform （FRFT）.The FRFT, as a powerful tool for the analysis of time-varying signals, is closely connected with the optical imaging system. FRFT also can describe optical imaging process just like Fresnel diffractions, so a defocused imaging model based on FRFT is established to explain the blur phenomena of defocusing image. The defocused imaging model is greatly different from the traditional point spread function （PSF） model, and enables to uncover the blur nature of non-focus image. Then, an image restoration method using the novel model is proposed to handle the blurred defocused image. The method adopted a new iterative phase retrieval approach which can approximately estimate phase signals from intensity signals of a single defocused image by means of FRFT. Restoring image may acquire sharp image by implementing inverse FRFT on complex image signal made from the estimated phase signals and intensity signals. Experimental results demonstrate that the method is effective in restoring blurred defocused image.     

基于HOUGH变换的二维条码识别技术的研究

条形码在日常生活中具有广泛的用途,但常用的一维条形码存在信息含量小的缺点,已不能满足实际的需要,因此,二维条码技术应运而生.本文研究了关于Data Matrix二维条形码自动识别的相关技术,包括对二维条形码图像的预处理、图像的提取及其译码等,并通过实验模拟得到了很好的实验结果,实现了Data Matrix二维条形码的自动识别过程.     

Polarimetric Synthetic Aperture Radar Image Classification by a Hybrid Method

Different methods proposed so far for accurate classification of land cover types in polarimetric synthetic aperture radar (SAR) image are data specific and no general method is available. A novel hybrid framework for this classification was developed in this work. A set of effective features derived from the coherence matrix of polarimetric SAR data was proposed. Constituents of the feature set are wavelet, texture, and nonlinear features. The proposed feature set has a strong discrimination power. A neural network was used as the classification engine in a unique way. By exploiting the speed of the conjugate gradient method and the convergence rate of the Levenberg-Marquardt method (near the optimal point), an overall speed up of the classification procedure was achieved. Principal component analysis (PCA) was used to shrink the dimension of the feature vector without sacrificing much of the classification accuracy. The proposed approach is compared with the maximum likelihood estimator (MLE) based on the complex Wishart distribution and the results show the superiority of the proposed method, with the average classification accuracy by the proposed method (95.4%) higher than that of the MLE (93.77%). Use of PCA to reduce the dimensionality of the feature vector helps reduce the memory requirements and computational cost, thereby enhancing the speed of the process.     

基于特征空间投影的SAR图像快速分割算法

文中改进了一种基于投影的快速有效的SAR图像分割算法。首先,提出加权K-L变换,给算法提供了理论支持。继而,给出一种新的正交向量的求解算法,选择出了合适的参考子空间。通过把图像投影到参考子空间,把多维图像数据变换成一维投影长度。基于仿真和实测数据的实验验证了该算法的有效性。