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小波分解在图像放大缩小中的应用
- 小波分解在图像放大缩小中的应用-wavelet decomposition in Image Zooming Application
VC_图像小波分解
- VC_图像小波分解,包括图像处理算法,如小波算法等。-VC_ wavelet decomposition images, including image-processing algorithms, such as wavelet algorithm.
双正交小波分解和重构图像
- 双正交小波分解和重构图像
Nlayer_denoise.rar 小波阈值去噪
- 小波阈值去噪。对图像加噪,并进行小波1到4层分解去噪,给出信噪比走势图,Wavelet threshold denoising. Image noise, and 1-4 layers of wavelet decomposition of de-noising, signal to noise ratio is given chart
imagereconstruction
- 基于小波和插值的超分辨率图像重建算法,通过插值后将小波分解应用于图像中,再通过逆变换得到重构图像-And interpolation based on wavelet super-resolution image reconstruction algorithm by interpolating the image after the wavelet decomposition used, then the reconstructed image through the inverse tran
matlab
- 基于MATLAB-GUI图形界面的数字图像处理软件 本系统设计基于GUI图形界面,用matlab语言编写代码,实现功能包括图象的读取、存储、显示、直方图均衡化、阈值化、小波分解、小波重构、加噪、去噪、平滑、锐化、边缘检测、图像分割等-MATLAB-GUI graphical user interface based on digital image processing software of the system design is based on GUI graphical interfa
图像小波分解-matlab
- 小波分解 利用多尺度小波分解函数dwt2对图像进行二尺度小波分解(采用db1小波)
WaveletTransform
- 利用二维小波分析对一幅图象作2层小波分解,并在此基础上提取各层的低频信息实现图像的压缩.-The use of two-dimensional wavelet analysis of images for a 2-layer wavelet decomposition, and on this basis the low-frequency information extracted all levels to achieve image compression.
63535316jiqishijue
- 视频文字识别在视频分析与检索中有着重要作用,该算法对字幕图像进行N层小波分解,获得该视频文字的低频分量,再借助相似性度量方法实现视频文字的识别。-Video character recognition in the video analysis and retrieval plays an important role in the algorithm of subtitles images N layer wavelet decomposition, which is low-frequenc
compress
- 使用小波分解进行图像压缩的几个例子, 有二次分解的有通过系数选取分解的 我刚做的 可用-Using wavelet decomposition for image compression of a few examples, has the second decomposition has selected through the coefficient of decomposition available to do I just
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
Example2_6_1
- 对图像的小波分解与重构,并且进行阈值滤波,对滤波前后的图像进行了对比-The image of the wavelet decomposition and reconstruction, and the threshold to filter the images before and after filtering were compared
test2_wavelet_decomposing
- 用两种方法做边缘检测并对比其效果:传统算子和小波分解去噪后得到的近似系数图像后提取边缘-Two ways to do edge detection and contrast the effect: the traditional operator and after denoising wavelet decomposition coefficients of the approximate image after the edge extraction
21-72
- ::针对传统的基于小波变换的反锐化掩模图像增强算法中存在的问题,即对比度相同而幅角不同的边缘达到的增强效果之间差别较大,提出了一种新的基于小波变换的反锐化掩模图像增强算法。该算法在对原始图像进行小波分解的基础上,根据小波变换所提供的幅角,对小波系数进行-:: For the traditional wavelet transform based on unsharp masking image enhancement algorithm for the problems that exist,
Matlab_wavelet
- 掌握小波分析在图像分析等各方面的应用。对图像进行二维离散小波分解、多尺度二维离散小波分解 并提取二维小波分解的高频系数和低频系数, 画出原始图形并显示分解结果。-Master the application of wavelet analysis in image analysis and other applications. Image two-dimensional discrete wavelet decomposition, multi-scale two-dimensiona
li11_7
- 利用小波分解,去掉图像高频部分,只保留低频部分的图像压缩实例-The use of wavelet decomposition to remove high-frequency part of the image, leaving only the low-frequency part of the image compression examples
cwt
- 对512*512图像做小波分解和复原,可以直接运行-, For 512* 512 image to do wavelet decomposition and recovery
amethodforimagefusion
- 文中的方法是把图像分块,小波分解得到低频分量、高频分量,然后计算每一块的对比度,把图像块划分为清晰块、模糊块,把清晰块和模糊块相邻的区域定义为边界区域,融合时,直接选取清晰块作为融合后的相应块,对于边界区域,在小波分解的基础上采用基于对比度的像素选取的方法进行处理。-Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then
xx
- 本文详细描述了基于小波包的纹理图像去噪方法: 噪声对图像的后续处理影响较大,常用的去噪方法虽然可以去除变化平缓的图 像中的噪声,但对细节较多的纹理图像的去噪效果却不太理想, 文中基于信号和噪声在小 波分解中呈现出来的不同特性,提出了一种新颖的小波包去噪算法, 采用该算法对纹理图 像进行最优小波包分解,并计算每个子频带的两个范数,然后根据范数值区分信号和噪 声,从而达到去除噪声的目的, 实验结果表明,该算法对皮革图像具有较好的去噪效果,不 仅可以去除纹理图像中的大部分
Haar-wavelet-image--processing
- 用matlab编写的基于Haar小波变换的图像增强处理,同时可实现小波正变换,小波逆变换,实现小波分解与重构源代码。-Written by matlab Haar wavelet-based image enhancement processing, and can achieve positive wavelet transform, inverse wavelet transform, wavelet decomposition and reconstruction to achieve t