And study Wavelet Transform definition, Continue Wavelet Transform and Discrete Wavelet Transform.
并学习了小波变换的定义、连续小波变换、离散小波变换。
In this paper, a multipurpose image watermarking algorithm based on chaos and DWT (Discrete Wavelet Transform) is proposed.
提出了一种基于混沌的DWT域多功能图像数字水印算法。
The discrete wavelet transform (DWT) is used to analyse the spectra of pollution clouds in complicated environment and extract the small features.
应用离散子波变换进行污染云团红外光谱信号分析及特征提取。
The discrete wavelet transform decomposes a discrete time signal into an approximation sequence and a detail sequence at each level of resolution.
离散子波变换将离散时间信号分解为一系列分辨率下的离散逼近和离散细节。紧支的正交规范子波与完全重建正交镜象滤波器组相对应。
The discrete wavelet transform(DWT) has a localized characteristic in time-frequency domain and a transform mechanism that accords with human visual system.
小波变换具有时频局部化特性和与人眼视觉特性相符的变换机制，而混沌序列具有确定、似随机、不可预测等特性。
Compared with the JPEG standard, JPEG2000 standard adopts some different compress technique, such as the Discrete Wavelet Transform, Embedded Coding and so on.
与传统的JPEG标准相比，JPEG2000标准采用了离散小波变换、内嵌编码等技术，从而具有了渐进传输、感兴趣区域压缩、抗误码等新特性。
There are two main transform domain methods, one is to use the discrete cosine transformation (DCT); the other would be the use of discrete wavelet transforms (DWT).
目前主要有两种变换域方法，一种是使用离散余弦变换(DCT)，另一种是使用离散小波变换(DWT)。
Arbitrary shape region of interest lossily and losslessly coding technology based on integer-to-integer shape adaptive discrete wavelet transform has also been studied.
研究了基于整数到整数形状自适应离散小波变换对任意形状感兴趣区域的有损和无损编码技术。
Using 5-level CDF9/7 2-D discrete wavelet transform recommend in the standard of JPEG2000, the multiplication operation for scaling in the algorithm is decreased by 34.
实验中以CDF 9/7二维离散小波变换为例，对于JPEG 2000中推荐使用的5级小波分解，本文算法相对于原空间组合推举算法的缩放运算乘法量减少了34。
Two approaches, single decomposition approach and multi-decomposition approach, using discrete wavelet transform for extracting phase in phase profilometry are proposed.
提出了两种在相位轮廓术中使用离散小波变换提取条纹相位的方法：单次分解法和多次分解法。
This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
文章深入分析了高光谱遥感数据中噪声的特点，提出了一种基于平稳小波变换的改进小波滤噪算法。
A new image blind watermarking algorithm based on adaptive quantization step in discrete wavelet transform (DWT) is proposed, which can be used in copyright authentication.
提出了一种可用于版权认证的基于小波变换域自适应量化步长的图像盲水印算法。
The continuous and discrete wavelet transform are also described. The constraints to wavelet, qraphics and general properties about the wavelet transform are also presented.
描述了连续和离散的子波变换，讨论了子波函数成立的容许性条件和子波变换的一些基本性质。
Then it discusses several transform methods, such as continuous wavelet transform, discrete wavelet transform and wavelet packet transform of which characteristics are analyzed.
然后探讨了连续小波变换、离散小波变换、小波包变换等小波理论中几种重要的变换方法，分析了这几种小波变换的时频特性。
By studying three dimensional discrete wavelet transform (3d DWT) core algorithm in deepness, the paper divides it into three one dimensional discrete wavelet transforms (1d DWT).
通过深入研究三维离散小波变换(3dDWT)核心算法，将其分解为3个一维的小波变换(1d DWT)。
Compared with JPEG, JPEG 2000 made substantial improvements, the most important of which is discrete wavelet transform (DWT) instead of the JPEG standard discrete cosine transform.
与jpeg相比，JPEG 2000作了大幅改进，其中最重要的是用离散小波变换(DWT)替代了JPEG标准中的离散余弦变换。
Currently, there are many DWT (Discrete wavelet Transform) based watermarking algorithms, but few of them discuss the issue in association with fractal image coding in wavelet domain.
目前有很多基于离散小波变换(DWT)的水印算法，但结合分形编码技术的很少。
This thesis achieves the following three innovative results: 1 the thesis presents a new parallel array 2-d discrete wavelet transform DWT hardware architecture based on lifting schemes.
以下是本文的三个创新性成果：1设计了一种并行阵列式二维离散小波变换DWT提升格式的硬件结构。
Describes the wavelet function, continuous wavelet transform, discrete wavelet transform, dyadic wavelet transform, wavelet transform, multiresolution analysis, wavelet transform theory.
叙述了小波基函数、连续小波变换、离散小波变换、二进小波变换、二维小波变换、多分辨分析小波变换理论。
This paper discusses the feature of redundant discrete wavelet transform and proposes an irregular triangular mesh design method in wavelet domain for motion compensation in wavelet video codec.
在深入研究视频图像冗余离散变换特征的基础上，提出一种用于视频编码运动补偿技术的小波域不规则三角形网格构造方法。
The experimental results demonstrate that the MSE (mean square error) reduced by this proposed approach decreases 30% - 60% than that by Laplacian pyramid and discrete wavelet transform approaches.
实验表明该方法融合结果的均方误差比拉普拉斯金字塔算法和小波变换方法降低约30%- 60%。
Advanced signal processing techniques such as discrete wavelet transform (DWT) and a corrected multiresolution Fourier transform (MFT) are applied to investigate the vibration and current transients.
信号处理的先进技术，如离散小波变换(DWT)和纠正多分辨傅立叶变换(MFT中)是适用于调查的振动和电流瞬变。
The properties of the wavelet transform and the discrete dyadic wavelet transform are discussed and a fast wavelet algorithm for one-dimensional signals is described.
论述了连续小波变换和离散小波变换的性质、方法，介绍了离散二进小波变换的快速算法。
This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA).
文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。
The concept of-the discrete case of continuous wavelet transform in time-scale plane is introduced.
接着对连续子波变换在时间尺度平面上的离散化的概念作了扼要描述。
An efficient implementation of the discrete form of the wavelet transform on digital signal processors (DSPs) is especially interesting for the analysis of real time signals.
在实时信号分析中，离散小波变换在DSP上的有效应用受到了特别的关注。
Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
Based on mentioned-above wavelet analysis theories, two-dimension biorthogonal wavelet and the implementation of wavelet transform on discrete images have been discussed.
在以上小波分析理论的基础上进一步讨论了二维正交小波变换和离散图像的小波变换实现。
In performance and visual quality, the algorithm is better than the wavelet denoising based on discrete orthogonal wavelet transform and the conditional median value filtering method.
算法在性能指标和视觉质量上均优于基于离散正交小波变换的阈值去噪方法和传统的中值滤波法。
In performance and visual quality, the algorithm is better than the wavelet denoising based on discrete orthogonal wavelet transform and the conditional median value filtering method.
算法在性能指标和视觉质量上均优于基于离散正交小波变换的阈值去噪方法和传统的中值滤波法。
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