共查询到20条相似文献,搜索用时 765 毫秒
1.
2.
本文首先简要叙述了小波理论产生的实际背景及其在信号压缩与编码,计算机视觉与图象处理,地震信号的分析中的应用,然后介绍了小波变换的基本知识及惯导系统的基本原理和误差分析,最后介绍了小波变换在惯导系统中的应用前景,包括系统的故障诊断,陀螺漂移的建模等。 相似文献
3.
利用子波变换的图象压缩编码技术 总被引:12,自引:0,他引:12
从1988年Malial将子波交换用于信号处理提出多分辨率分析概念,给出了信号或图象分解为不同频率通道的算法和重构算法,开创了子波变换在图象处理中的应用.于波变换在时域和频域同时具有良好的局部化性能,使子波变换成为视频图象压缩编码的主要技术,专家预计在1996年将会高清晰度电视标准的子波变换视频图象压缩技术将推出问世.本文将综述子波变换图象压缩编码技术当前的进展。 相似文献
4.
5.
6.
文中分析了几种侦察图象的数据特点,介绍了基于小波变换的图象压缩编译码在军事侦察图象压缩中的应用。 相似文献
7.
基于小波变换的红外图象多尺度边缘检测 总被引:3,自引:3,他引:0
本文讨论了小波变换及其应用于多尺度图象边缘检测的原理,对一幅红外图象给出其多尺度边缘检测的计算机仿真结果,而且与传统的边缘检测方法进行比较,从而得出基于小波变换的多尺度边缘检测是一种较好的方法 相似文献
8.
小波分析是当前数学中一个迅速发展的新领域,理论深刻,应用十分广泛。它被认为是傅立叶分析方法的突破性进展。作为一种技术工具和方法,小波变换在各个领域得到很好的应用。小波分析用于信号与图象和视频压缩是小波分析应用的一个重要方面。它的特点是压缩比高,压缩速度快,压缩后能保持信号与图象的特征不变,且在传递中可以抗干扰。本文就小波变换的概念、视频编码的基础知识以及小波变换视频压缩的基础理论作了简单的介绍。 相似文献
9.
小波分析被认为是现代分析学的一个重大突破,它正在科学技术界引起一场轩然大波。短短几年里,它已成为信号分析、图象分析、量子物理等众多领域的研究热点。本文介绍了小波理论的发展历史,综述了小波理论的研究现状,讨论了小波理论在图象处理中的具体应用,展望了理论的发展前景。 相似文献
10.
论文介绍了离散余弦变换在数字图象处理中的应用,并使用MATLAB软件就离散余弦变换在音频、图象信号处理中的具体应用进行了仿真实现.通过仿真实验验证,离散余弦变换能够对图象等多媒体数据进行压缩处理,压缩处理之后的数据对原图象或音频信号的重建效果好,对多媒体数据的处理研究具有一定理论指导意义. 相似文献
11.
12.
小波变换在数字图像处理中的应用 总被引:8,自引:1,他引:7
小波变换在数字图像处理中的应用是小波变换典型的应用之一。由信号分析中傅里叶变换的不足引出小波变换,然后简单介绍了小波变换的定义和种类,分析了小波变换的性质和Mallat算法,总结了小波变换在数字图像处理中的四种应用:基于小波变换的图像压缩、图像去噪、图像增强和图像融合,分析了四种应用的过程及特点,同时进行了相应的Matlab试验与仿真。试验结果表明,小波变换在数字图像处理中的应用切实可行、简单方便、效果好、有很强的实用价值,有较好的应用前景。 相似文献
13.
14.
小波分析在图像处理中的应用 总被引:1,自引:0,他引:1
小波分析应用在图像处理中是小波分析较常见的应用之一,在小波分析的理论基础上。简要介绍了小波分析在图像处理中应用,重点介绍了在图像压缩中的应用。结果表明,小波分析应用在图像压缩中,压缩效果较好。 相似文献
15.
16.
17.
RAPID PROTOTYPING - Framework for FPGA-based discrete biorthogonal wavelet transforms implementation
The discrete wavelet transform has taken its place at the forefront of research for the development of signal and image processing applications. These wavelet-based approaches have outperformed existing strategies in many areas including telecommunication, numerical analysis and, most notably, image/video compression. The authors present an investigation into the design and implementation of 1-D and 2-D discrete biorthogonal wavelet transforms (DBWTs) using a field programmable gate array (FPGA)-based rapid prototyping environment. The proposed architectures for DBWTs are scalable, modular and have less area and time complexity when compared with existing structures. FPGA implementation results based on a Xilinx Virtex-2000E device have shown that the proposed system provides an efficient solution for the processing of DBWTs in real-time 相似文献
18.
The modeling of wavelet subband histograms via the product Bernoulli distributions (PBD) has received a lot of interest and the PBD model has been applied successfully in texture image retrieval. In order to fully understand the usefulness and effectiveness of the PBD model and its associated signature, namely, the bit-plane probability (BP) signature on image processing applications, we discuss and investigate some of their statistical properties. These properties would help to clarify the sufficiency of the BP signature to characterize wavelet subbands, which, in turn, justifies its use in real time applications. We apply the BP signature on supervised texture classification problem and experimental results suggest that the weighted L(1)-norm (rather than the standard L (1)-norm) should be used for the BP signature. Comparative classification experiments show that our method outperforms the current state-of-the-art Generalized Gaussian Density approaches. 相似文献
19.
Various image processing applications exploit a model of the human visual system (HVS). One element of HVS-models describes the masking-effect, which is typically parameterized by psycho-visual experiments that employ superimposed sinusoidal stimuli. Those stimuli are oversimplified with respect to real images and can capture only very elementary masking-effects. To overcome these limitations a new psycho-visual test method is proposed. It is based on natural scenery stimuli and operates in the wavelet domain. The collected psycho-visual data is finally used to evaluate the performance of various masking models under conditions as found in real image processing applications like compression. 相似文献
20.
The dual-tree complex wavelet transform 总被引:27,自引:0,他引:27
《Signal Processing Magazine, IEEE》2005,22(6):123-151
The paper discusses the theory behind the dual-tree transform, shows how complex wavelets with good properties can be designed, and illustrates a range of applications in signal and image processing. The authors use the complex number symbol C in CWT to avoid confusion with the often-used acronym CWT for the (different) continuous wavelet transform. The four fundamentals, intertwined shortcomings of wavelet transform and some solutions are also discussed. Several methods for filter design are described for dual-tree CWT that demonstrates with relatively short filters, an effective invertible approximately analytic wavelet transform can indeed be implemented using the dual-tree approach. 相似文献