搜索资源列表
小波域均值图像去噪算法
- 在MATLAB环境下基于小在MATLAB环境下基于小波变换的图像去噪波变换的图像去噪在MATLAB环境下基于小波变换的图像去噪
wtthreshold.rar
- 利用小波变换进行图像去噪处理，包括各种软硬阈值的选取函数,Using Wavelet Transform for Image Denoising, including a variety of select hard and soft threshold function
psnr_noise
- 图像的小波去噪,给灰度图像加上一定量的高斯噪声,再采用小波变换的方法去噪,计算去噪前后图像的PSNR。-Wavelet Denoising images to grayscale images coupled with a certain amount of Gaussian noise, and then using the method of wavelet transform denoising calculated before and after denoising images PS
liftingwavelet
- 一种新的基于小波变换的阈值降噪方法介绍，并更传统阈值方法进行了比较-A new opportunity for the threshold wavelet transform denoising method introduction
a2
- 传统小波阈值去噪法 小波阈值收缩法去噪的主要依据是：小波变换特别是正交小波变换具有很强的去数据相关性，它能够使图像的能量在小波域集中在一些大的小波系数中；而噪声的能量却分布于整个小波域内，因此，经小波分解后，图像的小波系数幅值要大于噪声的系数幅值，可以认为，幅值比较大的小波系数一般以图像信号为主，而幅值比较小的小波系数在很大程度上是噪声。于是采用阈值的办法可以把信号系数保留，而使大部分噪声系数减少至零[-Study on Algorithm of Image Denosing Based o
wavelet_soft_threshold
- 小波变换软阈值去噪。采用阈值去噪时会产生振荡现象，而软阈值去噪可将图像变得较为平滑。-Soft-threshold wavelet de-noising. Threshold denoising using produces oscillation, while the soft-threshold denoising may become more smooth images.
WaveletImageDenoising
- 小波变换图像去噪论文，写的很好，很适合学习-Wavelet Image Denoising papers, written in very good, very suitable for learning
Ban-denoising
- 本代码是基于Bandelet的硬阈值SAR图像去噪，结果与小波变换进行对比，结果表示其在峰值信噪比，边缘保持系数上均有一定的提高。压缩包中有程序和SAR图像。-This code is based on Bandelet SAR image denoising with a hard threshold .the results were compared with the wavelet transform, and the results indicated that in the peak
small
- 基于小波变换的图像去噪的matlab程序的源代码 基于小波变换的图像去噪的matlab程序的源代码(里面包含了源代码和运行的结果,-Image denoising based on wavelet transform of the matlab program s source code Image denoising based on wavelet transform of the matlab program s source code (which contains the s
lisanxiaoboyuzhidepianweifenquzao
- 小波方法和偏微分方程方法是图像去噪中的主要方法。该文提出基于离散小波变换对图像进行阈值去噪，得出了小波阈值的偏微 分方程表示形式，在此基础上研究偏微分方程的解法，采用分数步的小波阈值方法对图像去噪，得到了较好的去噪效果，同时可以保护边 缘。数值试验结果表明，该方法具有比小波方法更好的去噪效果，能获得较高的信噪比-Wavelet method and partial differential equations is the main method of image denoising.
UltraSound_program
- 超声图像去噪，基于小波变换的通用超声图像去噪，能够有效的去除相干斑-Ultrasound image denoising based on wavelet transform common ultrasound image denoising, can effectively remove speckle
13898400MATLABwavelet
- 小波变换在图像处理中应用于图像分析，图像压缩，图像去噪等-matlab
XiaoBo
- 小波变换去噪，利用的是小波阈值化图像消噪去噪，matlab开发的-Wavelet denoising using the wavelet thresholding denoising image denoising, matlab development
基于小波变换的不同分解层次去噪
- 包含不同分解层次对图像去噪效果的仿真程序及结果，包含信噪比源程序(Contains different decomposition levels of image denoising effect of the simulation procedures and results, including signal to noise ratio source)
xiaobo
- 利用小波变换，通过设置阈值对图像进行去噪。 首先对图像用小波进行2层分解，然后通过设置硬阈值和软阈值的方法，对图像高频部分去噪。(The wavelet transform is used to denoise the image by setting threshold. Firstly, the image is decomposed into 2 layers by wavelet, and then the high frequency part of the image is d
小波变换
- 用小波变换对图像进行分层处理，针对不同的子图像对不同方向进行滤波，达到对图像去噪的目的！(The wavelet transform is used to process the image in different layers, and different images are filtered in different directions, so as to achieve the purpose of image denoising!)
基于小波变换的图像降噪
- 基于小波变换的图像去噪，从含噪图像可以看出噪声含量非常强，而从去噪的结果可以看出，通过小波去噪后的图像基本和原图像一致。第一次消噪滤去了大部分高频噪声，但与原图比较，依然有不少高频噪声，第二次消噪在第一次消噪基础上，再次滤去高频噪声，消噪效果较好，但图像质量比原图稍差。(Image denoising based on wavelet transform shows that the noise content is very strong from noisy images, and from
小波阀值去噪
- 利用小波变换实现图像去噪，对比原图观察去噪效果(Image denoising is realized by wavelet transform, and the effect of noise reduction is compared with original image.)
小波例程讲解分析
- 此编程主要是讲解一些小波变换方面的例子，例如去噪，图像处理和小波变换分解，方便大家学习和应用，均可实现(This programming is mainly to explain some examples of wavelet transform, for example, denoising, image processing and wavelet transform decomposition, so that everyone can learn and apply.)
双树复小波分解+特征提取+输出Excel
- 运行小波变换对图像进行处理分析，包括去噪纹理提取等(Running wavelet transform to process and analyze image, including denoising texture extraction, etc.)