Description: 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。-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. Platform: |
Size: 1024 |
Author:刘丽丽 |
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Description: 自已编的图像处理，带GUI界面的彩色小波消噪程序等等，能进一步理解MATLAB在图像处理中的应用。-own series of image processing, with the color GUI interface wavelet denoising procedures, and so on. further understanding of MATLAB in image processing applications. Platform: |
Size: 132096 |
Author:董欣善 |
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Description: 这是一个小波去噪的程序，除了实现了最经典的图像去噪算法外，还使用了最新的带有方向性的小波，去噪效果非常好-This is a wavelet denoising procedure, in addition to realize the most classical image denoising algorithms, but also uses the latest with a directional wavelet, denoising effect is very good Platform: |
Size: 21504 |
Author:粘永健 |
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Description: 速度非常块，效果接近blsgsm。堪称去噪的又一突破。
OWT SURE-LET SOFTWARE FOR MATLAB
********************************
Florian Luisier, Thierry Blu and Michael Unser
Biomedical Imaging group
Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland.
March 2007
This software implements the algorithm described in:
[1] F. Luisier, T. Blu, M. Unser, "A New SURE Approach to Image
Denoising: Interscale Orthonormal Wavelet Thresholding,"
IEEE Transactions on Image Processing, vol. 16, no. 3, pp. 593-606,
March 2007.
-Very block, the effect close to blsgsm. Denoising can be another breakthrough. OWT SURE-LET SOFTWARE FOR MATLAB******************************** Florian Luisier, Thierry Blu and Michael UnserBiomedical Imaging group Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland.March 2007This software implements the algorithm described in: [1] F. Luisier, T. Blu, M. Unser, Platform: |
Size: 2621440 |
Author:li |
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Description: 木论文主要研究了子带滤波器组的设计方法，尤其是具有线性相位特性的完全重构滤波器组的设计，以及完全重构的子带滤波器组在图像消噪中的应用。-Wood paper studied the sub-band filter bank design method, especially characteristics of linear phase perfect reconstruction filter bank design, and perfect reconstruction subband filter banks in image denoising application. Platform: |
Size: 340992 |
Author:阳关 |
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Description: This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures).
Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own.
I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.
-This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing: signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names eg tp1.m, and launch the script directly from Matlab comand line> tp1. Some of the scripts contains holes that you should try to fill on your own.I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them. Platform: |
Size: 6066176 |
Author:风帆 |
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Description: 图像去噪是图像处理领域中的一个重要内容，图像去噪总是需要在抑制噪声和保持图像细节之间做折衷。小波变换作为一种新的信号处理工具，在信号去噪领域已得到了成功的应用。在传统的基于正交小波变换的图像去噪方法中，重建图像在边缘附近容易产生振荡从而造成边缘失真，噪声较严重时还会产生模糊边缘；利用冗余小波变换，可以克服正交小波变换去噪存在的不足, 进一步提高算法的去噪性能-Image denoising image processing is an important area of content, image denoising is always the need to suppress noise and maintain a compromise between image detail. Wavelet transform as a new signal processing tools, in the field of signal de-noising has been applied successfully. In the traditional orthogonal wavelet transform based image denoising methods, the reconstructed image at the edge near the oscillation and thus prone to cause the edge of distortion, noise will also produce more serious when the fuzzy edge the use of redundant wavelet transform, orthogonal wavelet can be overcome Transform Denoising deficiencies, further improving the performance of denoising algorithms Platform: |
Size: 1788928 |
Author:李胖子 |
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Description: 使用小波进行图像去噪的论文。
This paper proposes an adaptive threshold
estimation method for image denoising in the wavelet
domain based on the generalized Guassian
distribution (GGD) modeling of subband coefficients.
-For image denoising using wavelet papers. This paper proposes an adaptive thresholdestimation method for image denoising in the waveletdomain based on the generalized Guassiandistribution (GGD) modeling of subband coefficients. Platform: |
Size: 103424 |
Author:pendle |
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Description: 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。本文就小波变换理论和matlab语言的小波分析工具箱做了简单阐述。-Wavelet transform in image processing applied to image analysis, image compression, image denoising, etc.. In this paper, wavelet transform theory and wavelet analysis matlab language to do the simple toolbox on. Platform: |
Size: 871424 |
Author:wangrui |
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Description: 小波变换在图像处理中的应用，包括不同类型图像间的转换，二维小波对图像进行小波去噪，二维小波进行图像压缩，利用小波分析对二维含噪图像去噪，二维小波利用中值滤波对图像进行平滑，小波分析进行图像增强，小波分析对两个不同的图像进行融合-Wavelet transform in image processing applications, including different types of image inter-conversion, two-dimensional wavelet image wavelet denoising, two-dimensional wavelet image compression, the use of wavelet analysis of two-dimensional noisy image denoising, the use of two-dimensional wavelet median filter for image smoothing, wavelet analysis for image enhancement, wavelet analysis of two different image fusion Platform: |
Size: 3072 |
Author:fuhuaizheng |
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Description: 现在在所有图像去噪滤波中最较理想的去噪算法——Bayesian Least Squares - Gaussian Scale Mixture的matlab实现代码，应用丰富，与商用图像处理软件媲美，其原理可以参见J Portilla, V Strela, M Wainwright, E P Simoncelli, "Image Denoising
using Scale Mixtures of Gaussians in the Wavelet Domain-Now image denoising filter in all the most better denoising algorithm- Bayesian Least Squares- Gaussian Scale Mixture realize the matlab code, application-rich, with the commercial image processing software rival, and its principle can be found in J Portilla, V Strela, M Wainwright, EP Simoncelli, Platform: |
Size: 1370112 |
Author:pudndcy |
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Description: 在panel控件中载入图像,然后对图像进行去噪的处理,-Loading in the control panel image, and then to deal with image denoising, Platform: |
Size: 1024 |
Author:郭龙 |
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Description: 小波变换源码，国外VC开发的，效果比较好
I ve been involved with wavelet-analysis since my Ph.D studies and over the years developed various wavelet-transforms C++ libraries. This one concerns 2D implementation of the Fast wavelet transform (FWT). The 2D FWT is used in image processing tasks like image compression, denoising and fast scaling. I intended to design the implementation of the 2D FWT with custom filter support and simple in usage. I ve equipped it with known filter families: Daubechies, Coiflets and Biorthogonal wavelets. The wavelets used in compression tasks are Bior53 and Bior97. With Daub1 filter you can achieve fast dyadic image scaling algorithm. You may also experiment with other filters for compression and denoising and compare the results, you may also add your custom wavelets. The nice feature of this library is that reconstruction FWT filters are rearranged the way that you perform just convolution operations on the spectrum, which is very important if you d like MMX -err Platform: |
Size: 99328 |
Author: |
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Description: 生成一副服从正态分布且加入噪声图像，用于初始实验-Normal distribution to generate an image and adding noise to the initial experiments
搜索 Platform: |
Size: 1024 |
Author:娟娟 |
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Description: the noise deteriorates the
interpolation performance in digital images, it is effective to
employ denoising prior to the interpolation. In this paper, we
propose a novel interpolation framework in which denoising
and image sharpening methods are embedded. In the
proposed framework, the image is first decomposed using the
bilateral filter into the detail and base layers which represent
the small and large scale features, respectively. The detail
layer is adaptively smoothed to suppress the noise before
interpolation and an edge-preserving interpolation method is
applied to both layers. Finally, the high resolution image is
obtained by combining the base and detail layers.
Experimental results show that the proposed algorithm
outperforms the conventional methods Platform: |
Size: 1034240 |
Author:prabhakaran |
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Description: 灰色系统理论在图像处理中的应用，为了给灰色系统理论在图像处理中的应用提供依据，提出了应用算法，论证了灰色系统理论作为一种在一维空间
提出的长期预测理论，通过适当的算法同样可以应用于二维空间的图像处理。该算法把灰色系统理论有效地应用于椒盐噪声
的去除，并且在理论分析的基础上引入修正的灰色系统模型进一步提高去噪效果。这对图像处理的各方向的研究提供了新的
工具。
-Gray system theory in image processing, in order to give the gray system theory in image processing provide the basis for proposed algorithm is applied, it demonstrates the long-term forecasting gray system theory as a theory put forward in one-dimensional space, through appropriate the same algorithm can be applied to two-dimensional image processing. The algorithm of gray system theory effectively applied to remove salt and pepper noise, and the introduction of Grey System Model correction on the basis of theoretical analysis to further improve the denoising effect. This research direction of each image processing to provide a new tool. Platform: |
Size: 623616 |
Author:Cynthia |
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Description: in the existing technique gaussian denoising is performed to remove the noise in image. in the proposed technique rician denoising is performed to remove the noisy pixel Platform: |
Size: 183296 |
Author:paramu |
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Search - denoising in image