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Description: 应用二维小波变换对图像进行去噪。程序image_denoise1.m应用sym5小波对图像进行2层分解，直接用各层的逼近信号表示去噪后的信号。程序image_denoise2.m利用不同的阈值对含噪信号进行去噪，相当于进行两次高频噪声的消除，并且阈值不同。
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Size: 1464 |
Author: 李冰 |
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Description: 应用二维小波变换对图像进行去噪。程序image_denoise1.m应用sym5小波对图像进行2层分解，直接用各层的逼近信号表示去噪后的信号。程序image_denoise2.m利用不同的阈值对含噪信号进行去噪，相当于进行两次高频噪声的消除，并且阈值不同。-Application of two-dimensional wavelet transform for image denoising. Application procedures image_denoise1.m image sym5 wavelet decomposition layer 2, the direct use of all floors of the signals that the approximation of the signal after denoising. Image_denoise2.m procedures using different thresholds for denoising noisy signals, which is equivalent to twice the elimination of high-frequency noise, and different thresholds.
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Size: 1024 |
Author: 李冰 |
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Description: 首先介绍了图像中噪声的产生及与图像信号相关的噪声的分类，然后分别讨论了用于图象平滑去噪的空间域平滑处理：高斯滤波，超值像素滤波、中值滤波，和频率域平滑处理：理想低通滤波和Butterworth低通滤波处理。继而介绍了各种处理方法的程序实现，并对各种方法的去噪性能进行了比较。-this program introduce the generation ofimage noise and associated noise classification with the image signal , and then discussed separately for the spatial domain image denoising smoothing: Gaussian filtering, pixel value filtering, median filtering, and frequency of domain smoothing: an ideal low-pass filter and Butterworth low-pass filtering. Then describes the procedures for implementation of various treatment methods, and de-noising performance of various methods were compared.
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Size: 4809728 |
Author: YEBIQING |
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Description: 以实例说明如何通过图像的提升小波分解进行图像的去噪，其方法与一般去噪方法相同，都是对小波分解的高频系数进行阈值量化来达到去噪的目的-Take example to explain how to denoise the image by lifting wavelet decomposing
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Size: 1024 |
Author: 岳明彦 |
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Description: 小波图像去噪源码，很不错，内有程序的运行结果-Image denoising source, very good, there are programs running results
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Size: 150528 |
Author: lp |
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Description: opencv初级学习，做了图像的去噪，其中调用了opencv的函数，作为学习用-opencv primary learning, do image denoising, which calls opencv function as a learning
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Size: 3292160 |
Author: 齐南 |
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Description: 图像处理程序。消除图像中的噪声，提高图像画质。-The image processing program. Eliminate image noise and improve image quality.
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Size: 3072 |
Author: 蔡文杰 |
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