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图像去噪的几种方法分析比较
图像去噪是图像处理中的重要组成部分,对均值滤波、中值滤波、维纳滤波和图像小波
域滤波四种用于图像去噪的平滑技术进行分析比较。
-Image Denoising Methods of Analysis and Comparison of image denoising in image processing is an important part of the mean filtering, median filtering, Wiener filteri
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摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进-Abstract In this paper, consider using images to
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基于小波变换应用的matlab程序,包含图像增强,图像分解,图像去噪,图像融合等-Applications based on wavelet transform matlab program, including image enhancement, image decomposition, image denoising, image fusion
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基于小波变换的图像去噪与压缩算法的研究方案-Image denoising based on wavelet transform and the compression algorithm of the program
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基于小波变换的图像去噪的matlab源码,根据自己输入的噪声值而达到不同的结果。-Image denoising based on wavelet transform of the matlab source code, noise value based on their input to achieve different results.
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denoising packages for wavelet haar based image filtering
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The code is for denoising using wavelet decomposition and reconstruction。 This is the implementation of paper "Efficient Image Denoising Method Based on a New Adaptive wavelet packet thresholding function"
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一种基于小波分解的图像去噪算法。较传统的滤波去噪方法,可以取得更好的效果。-a wavelet-based image denoising method. Compared with traditional filter-based denoising method, it could get better result.
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小波分析用于去噪,图像压缩,边界扭曲,分解与重构,图像融合,数字水印,边缘检测例子源码-Wavelet analysis for denoising, image compression, border distortion, decomposition and reconstruction, image fusion, digital watermarking, edge detection source code examples
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image denoising using wavelet transform
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Image De-noising with a New Threshold Value Using Wavelets
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小波分析及其应用/同济大学/计算机系/宣国荣
详细介绍小波,并在图像去噪方面给出例子,是学习小波对于图像处理的很好的文件-Wavelet analysis and application/Tongji University/Computer Science Department/Xuan Guorong
Wavelet detail, and gives examples of image denoising, wavelet learn a good deal for the ima
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小波变换文档汇总:二维小波变换在图像去噪处理中的应用、matlab小波工具箱及其应用、morlet小波变换理论与应用研究及软件实现、二维小波变换去噪的MATLAB可视化设计等-Wavelet transform document summary: two-dimensional wavelet transform in image denoising processing, matlab wavelet toolbox and its application, the application m
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RESEARCH PAPER ON WAVELET BASED IMAGE DENOISING
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新手编写的关于matlab gui界面的图像处理界面,主要是对小波去噪的一个简单程序-Novice prepared by the image processing interface matlab gui interface, primarily a simple program for wavelet denoising
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通过双正交小波对图像进行分解,后去噪并重构出图像,使得图像效果更加清晰-The image is decomposed by biorthogonal wavelet, then the image is denoised and reconstructed
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一个非常好的基于小波变换和SSIM的非局部均值图像去噪方法,值得大家去阅读-Based on wavelet transform is a very good similarity and nonlocal average SSIM image denoising methods, the effect is very good, for your reference.
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通过小波变换对加噪图像进行阈值去噪,并实现了信噪比的比较,更加直观的看出去噪后的图像效果。(The wavelet transform is used to denoise the denoised image, and the comparison of the signal to noise ratio is realized, and the image effect after the denoising is seen more intuitively.)
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The wavelet denoising is a useful tool for various applications of image processing and acoustic signal processing for noise reduction.
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