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zy1
- 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
waveletstools
- 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
guss
- 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
xiaobobianhuan
- 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.
Adaptive-wavelet-threshold
- 小波变换自适应阈值，毕业设计可以参考关于阈值的选定，图像去噪，这是CNKI上的文献-Adaptive wavelet threshold
SAR-image-despeckling
- SAR图像降斑，本文中，我们结合了小波变换进行图像的分解，并在分解的高频部分采用阈值去噪。-SAR image speckle reduction, this paper, we combine the wavelet transform for image decomposition and decomposition of the high-frequency part of the use thresholding.
CWT
- 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
SSIM
- 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.
image denoising
- 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.)