Description: 详细介绍了利用小波变换进行图像去除噪声的方法途径，文中试验的结果看其来很不错，我们可以借鉴使用-Details on the use of wavelet transform image noise removal approach, In this paper the results of the experiment to see quite well, and we can learn from the use of Platform: |
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Author:林风 |
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Description: 提出了一种基于小波域的图像数字水印算法·该算法将相互正交的两种水印(鲁棒水印和参考
水印)同时添加到经过DWT后的载体图像小波系数中,然后用小波反变换得到添加了水印的图像·用提取出
的参考水印来估计图像所受到的攻击,由于提取出的鲁棒水印所受的攻击与参考水印受到的攻击一样,因此
可以估计出原始的鲁棒水印·通过对嵌入水印的图像进行加入噪声、滤波、压缩以及裁剪等大量图像处理等试
验,均能正确检测出水印,表明该算法具有很好的感知效果和鲁棒性
-A wavelet-based image digital watermarking algorithm that the algorithm will be mutually orthogonal two watermarks (watermark robust watermarking and reference) at the same time added to the carrier after image after DWT wavelet coefficients, and then using wavelet transform has been Add a watermark image to use to extract a reference to estimate the watermark image by the attacks, as a result of the robust watermark extracted suffered attacks and the reference watermark by the same attack, it can be estimated through the original Robust Watermarking of the embedded watermark image by adding noise, filtering, compression and cutting, such as a large number of image processing such as testing, can correctly detect the watermark, show that the algorithm has good performance and robustness of perception Platform: |
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Author:李倩 |
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Description: 数字信号处理作业——小波变换的一个应用：
对一个图像加噪后再进行小波去噪、复小波去噪操作。-Digital signal processing operations- An application of wavelet transform: for an image noise after wavelet denoising, complex wavelet denoising operation. Platform: |
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Author:yoyo |
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Description: 小波软阈值去噪soft harr.rar 小波软阈值去噪soft harr.rar 将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。 wavlet.m是程序文件-Wavelet soft-threshold denoising soft harr.rar wavelet soft-threshold denoising soft harr.rar document directory Set working directory is located, and then open the wavlet.fig, prompt box in the noise input noise strength, in between 0-0.1 (Can not zero). Button and then point process, it will show the experimental results, including the original image, noise image denoising image contrast as well as the current value of the PSNR. wavlet.m is a program file Platform: |
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Author:王鹏 |
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Description: 根据小波变换和噪声信号地能量分布特性，提出了一种先用小波变换对含噪图像进行多尺度分解，求出各尺度小波变换高频系数地噪声方差和阈值，利用各尺度地阈值对高频系数进行处理，然后利用小波变换系数重构图像，实现图像降噪地方法。-According to wavelet transform and noise signal and energy distribution characteristics, a first wavelet transform of the noisy image multiscale decomposition, obtained the high-frequency-scale wavelet transform coefficients and noise variance and thresholds, using the scale to the threshold value of the deal with high-frequency coefficients, and then the use of wavelet transform coefficients reconstructed image, to realize image denoising methods. Platform: |
Size: 519168 |
Author:wangrui |
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Description: 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 Platform: |
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Author:王颖 |
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Description: 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.-Wavelet Denoising image to gray image coupled with a certain amount of Gaussian noise, and then using the method of wavelet transform de-noising. Platform: |
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Author:李大 |
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Description: 基于小波的降噪算法，实现图像降噪
The wavelet denoise plugin for The GIMP-Noise reduction based on wavelet algorithm image denoising The wavelet denoise plugin for The GIMP Platform: |
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Author:oyg |
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Description: Image denoising with wavelet
We first load an image, and add some noise to it
The orthogonal wavelet transform is not very efficient for image denoising because it lacks translation invariance. This is why there is so many reconstruction artifact in the previous denoising experiments. Translation invariant wavelet transform reduces these effect by increasing the redundancy of the wavelet transform. It thus requires more time to perform the denoising. Platform: |
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Author:Swati |
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Description: 小波变换，在图像处理中可以实现边界扭曲、图像去噪声和图像压缩等功用。-Wavelet transform, image processing can be achieved in the boundary distortion, image noise and image compression, etc. to function. Platform: |
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Author:孙伟 |
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Description: 这是一个小波降噪的Demo，这个Demo在降噪的基础上还对降噪后的图像进行了补偿复原，使降噪效果大大增强。大家在做类似项目的时候可以参考一下。-This is a wavelet noise reduction Demo, the Demo on the basis of the noise after noise reduction is also compensated image recovery, so that noise reduction effect of greatly enhanced. We do a similar project when you can reference. Platform: |
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Author:vegalee |
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Description: Decompose image into subbands (undecimated wavelet), denoise, and recompose again.
fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig)
im : image
Nsc: Number of scales
daub_order: Order of the daubechie fucntion used (must be even).
block: size of neighborhood within each undecimated subband.
noise: image having the same autocorrelation as the noise (e.g., a delta, for white noise)
parent: are we including the coefficient at the central location at the next coarser scale?
covariance: are we considering covariance or just variance?
optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0)
sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise)
Javier Portilla, Univ. de Granada, 3/03
Revised: 11/04 - Decompose image into subbands (undecimated wavelet), denoise, and recompose again.
fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig)
im : image
Nsc: Number of scales
daub_order: Order of the daubechie fucntion used (must be even).
block: size of neighborhood within each undecimated subband.
noise: image having the same autocorrelation as the noise (e.g., a delta, for white noise)
parent: are we including the coefficient at the central location at the next coarser scale?
covariance: are we considering covariance or just variance?
optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0)
sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise)
Javier Portilla, Univ. de Granada, 3/03
Revised: 11/04 Platform: |
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Author:ali |
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Description: 基于小波变换的图像去噪的matlab程序
程序使用说明：
1、软件应用平台：Matlab6.5或更高；
2、打开方法：
将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。
然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。
wavlet.m是程序文件。
程序内容写在在程序的注释里。
阈值的更改没有实现可视化，在源程序中可以改。-Image denoising based on wavelet transform of the matlab program uses: 1, Software Platform: Matlab6.5 or higher 2, open method: the directory where the file is set to the working directory, then open the wavlet.fig, the noise Tips box, enter the noise intensity, in between 0-0.1 (not zero). Then process the button, it will show the experimental results, including the original image, noise image, denoised image contrast and the current psnr value. wavlet.m is the program file. Program content of the comments written in the program. Threshold changes were not visualized in the source program can be changed. Platform: |
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Author:song |
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Description: 此为利用小波来进行去噪处理的几种程序举例，期中包括wnoise 函数测试去噪、图像噪声处理、图像用户界面（GUI）的压缩和去噪声处理三方面。-This is to use wavelet denoising examples of several programs, including wnoise function test period denoising, image noise processing, graphical user interface (GUI) of the compression and to deal with three aspects of noise. Platform: |
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Author:李伟 |
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Description: 本案例通过对图像加入高斯噪声，利用sym4小波函数对该图像和信号进行三级分解，用小波阀值去噪的方法对该图像进行去噪，并给出了仿真结果。-This case through join Gaussian noise image, use the sym4 wavelet decomposition of the image and signal, the wavelet threshold to filter method for the image denoising is presented, and the simulation results. Platform: |
Size: 97280 |
Author:nipengpeng |
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Search - wavelet noise image