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im_denoise
- 几种经典的图像平滑去噪算法程序，其中包括小波软阈值和硬阈值处理。还附送三个图像质量评价程序-several classic image denoising smoothing algorithm procedures, which include thresholding wavelet soft and hard threshold processing. Also attached three image quality evaluation procedures
小波变换去噪，软阈值和硬阈值
- 小波变换去噪，软阈值和硬阈值，以及自己的设计的阈值函数来去噪，毕业设计全套。很全面的资料，绝对最全面的资料，我保证,Wavelet denoising, soft thresholding and hard thresholding, as well as design their own threshold denoising function, the design of a full set of graduation. Comprehensive information is absol
xbryz
- 此代码，可以完成matlab下的小波软阈值图像去噪，可以做不同阈值下的图像去噪，并通过峰值信噪比psnr的比对来说明阈值选取的方法-Wavelet threshold denoising compared soft threshold and hard threshold and the current method of calculating the various thresholds and thresholds approach the performance of function,
waveletdenoising
- 小波变换应用，小波软阈值及硬阈值去噪算法及对此算法的改进算法。-Application of Wavelet Transform, wavelet soft threshold and hard threshold denoising algorithm and improved algorithm for this method.
yuzhiquzao
- 提供软硬阈值去噪代码以及一种新的阈值函数去噪代码-The provision of hard and soft threshold denoising code and a new de-noising threshold function code
xinyuzhihanshu
- 提供软硬阈值去噪代码以及一种新的阈值函数去噪代码-The provision of hard and soft threshold denoising code and a new de-noising threshold function code
waveletdenoise
- 这是本人的图像处理作业 包括利用各种基于小波的去噪过程，如硬阈值 软阈值等。。内容很丰富哦！相信一定对你有帮助的！-This is my image processing operations including the use of wavelet-based de-noising process, such as a hard threshold, such as soft-thresholding. . Oh, the content is very rich! I am sure wil
Thresh_Proceesing
- ConvertGrayToWhiteBlack函数采用硬阈值的方法，实现将图像二值化的功能。-ConvertGrayToWhiteBlack function using hard-threshold approach to realize the image binarization function.
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
EMDdenoising
- 利用emd对一维信号进行去噪的最新程序。包含了三种emd去噪方法：1、直接使用小波阈值，进行硬阈值去噪；2、使用具有emd分解特性的阈值去噪；3、emd分解后的平移不变去噪。-Using emd on one-dimensional signal de-noising of the latest procedures. Emd contains three kinds of de-noising methods: a direct use of wavelet thresholding to c
dccs_main
- 基于contourlet几何信息的图像去噪程序，该程序包括小波硬阈值方法，contourlet硬阈值方法，小波和循环平移结合的方法，contourlet和循环平移结合的方法，还有本文方法。-Based on geometric information contourlet denoising program that includes wavelet hard threshold method, contourlet hard threshold method, wavelet and recy
matlab5
- 主要简述了小波分析中的软阈值和硬阈值的曲线图，等等之类的很简单的程序-Wavelet analysis of the main outlines of the soft threshold and hard threshold curve, and so like a very simple program
12
- 基于小波变换的图像硬阈值去噪的源程序算法-Image based on wavelet transform of the source hard threshold denoising algorithm
lunwen22
- 小波去噪的仿真研究 ：介绍了小波软门限和硬门限法上嗡的处理方法．分析了采用不同的小波进行软门限去噪的效果，比较了软门限去噪和硬门 限去噪的特点。仿真结果表叫，对高斯白噪声的上哚处理，选用c1b8小波比用symI和haar小波町以得到更好的去噪效果， 软门限法优于硬门限法-Simulation Study of Wavelet Denoising: The wavelet soft threshold and hard thresholding approach on the hum.
wavelet
- 使用小波变换进行图像去噪，对得到的高频部分利用软阈值和硬阈值法去噪-Image denoising using wavelet transform, the high frequency part by the use of soft threshold and hard threshold denoising
L_307
- 用matlab软件对图像惊醒压缩去噪。分为软阈值去噪硬阈值去噪等-Woke up with matlab software for image compression denoising. Divided into soft threshold denoising hard threshold denoising
thresholdHSI
- 采用小波变换的方法实现心电信号的滤波，分别使用了硬阈值、软阈值和改进阈值方法，并实现了滤波效果的评价（均方差和信噪比）-Wavelet transform of ECG signal filtering method, respectively, using a hard threshold and soft threshold and improve the threshold method, and to achieve the filtering effect of the evaluat
lift97mlhard
- 个人编写的提升格式97小波去噪，采用硬阈值法，三层分解，包括小波变换，去噪，逆变换三步-Written format of 97 individuals to enhance the wavelet denoising using hard threshold method, three decomposition, including wavelet transforms, denoising, inverse transform three-step
Wavelet-hard-threshold
- 在实现小波硬阈值的信号去噪的基础上改进的算法程序-Improved algorithm based on wavelet hard threshold signal denoising procedures
Between-soft-and-hard-thresholding
- 基于Curvelet变换的软硬阈值折衷图像去噪-Compromise image denoising based on the Curvelet transform the soft and hard threshold