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- wavelet domain image denoising 小波域图像降噪
- In view of different properties of signal and noise in wavelet transformation, an image denoising method based on multiscale correlation in wavelet domain is given in this paper. 摘要本文根据信号与噪声在小波变换下表现出的不同的传播性质，提出了一种基于空域相关的图像去噪方法。
- Adaptive image denoising based on edge soft-decision in wavelet domain 基于边缘软判决的小波域自适应图像去噪
- Non-linear Filter in Wavelet Domain and Image Denoising by a Neural Network 小波域非线性滤波器及神经网络的图像降噪
- wavelet domain image watermarking 小波域图像水印
- Analysis of the Errors in Locally Adaptive Wavelet Domain Wiener Filter and Image Denoising 小波域局部维纳滤波器估计误差分析及图像去噪
- Image Denoising Based on Local Mixture Gaussian Model of Dual-tree Complex Wavelet Domain 二元树复小波域的局部高斯混合模型图像降噪
- Wavelet Domain Image Indexing Using Directional Gradient Angular Histogram 小波变换域内基于方向梯度相角直方图的图像检索算法
- Wavelet analysis has a certain effect on digital image denoising as a better method of transform domain. 小波分析是处理数字图像的一种很好的变换域方法，对去除数字图像噪声也有一定的效果。
- A methods using stationary wavelet transform with inter-scale and intra-scale dependencies for infrared image denoising is proposed. 摘要提出了一种基于尺度间和尺度内相关性的平稳小波变换红外图像去噪方法。
- A wavelet domain Indicator of the local spatial activity achieved the adaption to the spatial context in the image. 使用具有局部空间活跃性的小波域标记能达到对图像空间上下文关系的适应。
- The image denoising techniques based on fractional B-spline wavelet are studied and compared with classical wavelet denosing techniques from MSE and PSNR. 本文研究了分数B样条小波用于图像去噪的算法，通过均方差、峰值信噪比等性能指标，分析了分数B样条小波图像重构质量和去噪性能。
- In this paper, a new method of image denoising is presented ,which is built upon the ideas of Embedded Zerotree Wavelet (EZW) encoder and separate character of signals and noises. 该文在自适应树小波萎缩法的基础上，结合小波系数的零树编码思想和小波变换的信噪分离特性给出了一种新的小波消噪算法。
- 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。
- A novel palmprint image denoising algorithm based on wavelet transform is proposed in this paper, and validity of the algorithm is verified by experiment. 本文提出了一种新的基于小波变换的掌纹图像去噪算法，并通过实验验证了此算法对掌纹图像去噪的有效性。
- From the viewpoint of Bayesian method for image restoration, a linear image restoration algorithm based on wavelet domain Hidden Markov Tree (HMT) model is proposed. 从图像复原的Bayesian方法出发;提出一种基于小波域隐马尔可夫树(HMT)模型的线性图像复原算法.
- A new digital watermarking algorithm based on BPN neural network is proposed.Watermark embed processing is carried out by transforming the host image in four band wavelet domain. 摘要提出了一种基于BPN神经网络的水印新算法，首先对数字图像进行四进制小波分解；
- In order to eliminate tiling effect, an original image is first transformed into wavelet domain, on which fractal compression and arithmetic coding are performed. 为了消除传统分形图像压缩中产生的块效应，提出先将原图像变换到小波域，再进行分形压缩。
- MATLAB right one image with different wavelet decomposition, high-low-frequency observations for some remodeling, more reconstruction error and then de-noising, compared before and after image denoising. 详细说明:用MATLAB对一图象分别用不同小波分解,观察高低频部分进行重构,比较重构误差,再进行阈值消噪,比较消噪前后图象。
- Firstly calculate the absolution of the source speech signal, then analyze the absoluted signal in the dyadic wavelet domain. 首先对原始语音信号取绝对值，然后对其进行小波变换，认为8阶小波变换绝对值的极大值点对应于原始语音的音素分段点。
