A new chaos-based spread spectrum watermarking algorithm is developed in the wavelet domain for still images.
提出了一种新的混沌序列扩频水印算法。
This paper is devoted to the estimation of Q-factor in dispersive medium from zero offset VSP data in the wavelet domain.
讨论了地震子波为一般零相位子波情况下，利用零偏移距垂直地震剖面（VSP）资料在时-频域计算Q值方法。
Furthermore, the size of the sub-image in wavelet domain is a quarter of the source image, so the convergence speed of our method is faster.
此外，高频子图像的大小为原图的四分之一，因此计算量大大减少，算法的收敛速度更快。
TEMPLAR employs minimum description length (MDL) complexity regularization to learn a template with a sparse representation in the wavelet domain.
TEMPLAR采用最小描述长度(mdl)的复杂性正规化学习稀疏表示的小波域模板。
To fuse different multi-focus images effectively, an adaptive fusion method of multi-focus images based on regional features in wavelet domain is proposed.
为了对不同的多聚焦图像进行有效融合，提出了一种小波域中基于区域特征的自适应多聚焦图像融合方法。
A new locally adaptive image denoising method, which exploits the intra-scale and inter-scale dependency in the dual-tree complex wavelet domain, is presented.
充分利用二元树复数小波域内系数尺度间和尺度内的统计依赖关系，提出了一种新的局部自适应图像去噪方法。
In this paper we introduce an effective algorithm for the deblocking of the JPEG compressed images based on the denoising and edge detection in wavelet domain.
利用小波分析良好的去噪和边缘检测特性，本文提出一种减少JPEG压缩图象中方块效应的有效算法。
Filtering signal in the wavelet domain, by the frequency components acceptable for ear from the original speech, is a simple and effective speech denoising method.
利用此特性对信号进行小波域滤波，可从加噪的语音中提取人耳所能接受的频率成份，是一种简单有效的语音去噪算法。
There exist some wet and high-frequency noise fingerprint in large fingerprint databases. A low quality fingerprint enhanced algorithm was designed in wavelet domain.
针对采集到的指纹库中存在指纹过湿，以及存在高频噪声的问题，提出了一种基于小波分析的方向滤波算法。
The homogeneity of the sheet is analyzed by image transform, i. e. the spatial domain image is transformed to frequency domain or wavelet domain to obtain the features.
对于纸页的均匀性分析，通过图像变换，将空间域图像变换到频域或小波域进行分析，获取其特征；
Pressure data were analyzed by wavelet transform in wavelet domain. Frequency band energy spectrum and intensity index of ISW based on wavelet coefficient were obtained.
通过基于子波的分析方法，对压力数据进行了分析，获得了基于子波系数的频带能量谱和冲击波强度指数。
The watermark was embedded in the wavelet domain using the mean quantization method. This method can be used to detect the distortion both in spatial and frequency domain.
这种算法是采用了均值量化的方法，把数字水印嵌入图像的离散小波域，可以检测在空间域和频率域的图像失真。
Through the multiresolution decomposition and compression of operator matrix and seismic wave field matrix, we proposed a new method of seismic modeling in wavelet domain.
通过对算子矩阵和地震波场矩阵进行多分辨分解和压缩，得到了小波域中地震波场正演模拟算法。
By making use of human sight property in wavelet domain, a binary image watermark algorithm without using the original image in the watermark extraction has been presented.
利用小波变换域中人眼的视觉特性，提出了一种提取水印时不需要原始图像的数字图像水印算法。
Secondly, using locally variance estimation, a locally adaptive image-denoising algorithm was presented. Also this algorithm could be applied to the complex wavelet domain.
在实验中，将该算法分别应用到实值离散小波变换域和双树复数小波变换域，并和隐马尔科夫模型的去噪方法做了比较分析。
In the scheme, 2-d motion vectors are obtained by a variable block-size multiresolution motion estimation algorithm and motion estimation is realized in the wavelet domain.
在该编码方案中，运动矢量的获取采用了可变块大小的多分辨运动估计算法，运动估算在小波域中进行。
In this paper, we propose an adaptive digital image watermarking algorithm using successive subband quantization (SSQ) and human visual system (HVS) based on wavelet domain.
本文提出了一种基于连续子带量化(SSQ)和人类视觉系统(HVS)的小波域自适应数字水印算法。
Therefore based on the median filter and the threshold de-noising of wavelet, the wavelet domain median filter was formed, and it was applied to the gyro's signal processing.
为此将中值滤波与小波阈值去噪相结合构造了小波域中值滤波器，并应用于陀螺数据处理中。
According to their different characteristics of the targets, noises and background edges in wavelet domain, a small target detection algorithm based on wavelet analysis is proposed.
根据目标、噪声和背景边缘在小波域的不同特点，提出一种基于小波分析的红外小目标检测算法。
The statistics modeling method of underwater noise signal is studied. The hidden Markov tree model in wavelet domain is adopted to model the sea noise and various ship-radiated noise.
研究了基于小波域多尺度树结构的水下噪声信号统计概率模型的建模方法。
This paper mainly points out how to analyze and get rid of the random noise of seismic data by using the wavelet transform and de-noising method by threshold filter in wavelet domain.
本文主要是使用离散二进小波变换，采用小波域阈值的去噪方法对地震信号中随机噪声进行分析和处理。
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。
Based on wavelet domain Hidden Markov model, a novel speckle suppression method for medical ultrasound images is presented which combines Bayesian estimation and homomorphic filtering.
在此基于小波域隐马尔可夫树模型，将贝叶斯估计和同态滤波思想有机结合，提出一种新的医学超声图像去噪方法。
A wavelet domain singularity detection algorithm, based on the theory of pulse extraction, is applied in partial discharge (PD) pulse extraction utilizing the singularity of PD signal.
在提出脉冲提取思想的基础上，利用局部放电信号所固有的奇异性特征，将小波变换的奇异性检测原理应用于提取局部放电脉冲。
The wavelet transform has no ability to resist to geometric distortion, so the wavelet domain watermarking resisting to geometric distortion is a very difficult and challenging subject.
小波变换不具有几何不变性，因此，小波域水印对抗几何攻击是一个十分困难和富有挑战性的课题。
This paper makes a deep insight into two problems of object-based fine granular scalable video coding in the wavelet domain, namely video object coding and motion estimation techniques.
本文对基于对象的小波域视频细粒度可分级编码中的两个关键问题，即视频对象编码和运动估计技术进行了深入研究。
Some research is processed as follow:In the area of video de-noising, we did our research on various intra-frame de-noising methods on spatial domain, frequency domain and wavelet domain.
在视频降噪方面，从帧内与帧间两个角度对视频降噪方法进行了研究。
Aimed at the ultrasonic signal polluted by noises, which is low in SNR, a method of the ultrasonic signal denoising in wavelet domain based on an improved threshold function was put forward.
针对超声无损检测中超声信号受噪声污染、信噪比不高的情况，提出了一种新的基于改进阈值函数的小波域超声信号去噪方法。
The fast HRP algorithm is advanced at wavelet domain by taking advantage of wavelet multiresolution decomposition, and a parallel algorithm framework is used to further reduce operation time.
本文结合小波多分辨快速分解算法提出了在小波域实现HRP的快速算法，并进一步给出了减少运算时间的HRP的并行算法结构。
The fast HRP algorithm is advanced at wavelet domain by taking advantage of wavelet multiresolution decomposition, and a parallel algorithm framework is used to further reduce operation time.
本文结合小波多分辨快速分解算法提出了在小波域实现HRP的快速算法，并进一步给出了减少运算时间的HRP的并行算法结构。
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