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ImageCompression
- 图像进行小波分解后,对于相对来说不重要的高频成份采用较高的阈值,进行高压缩;而对集中图像大部分能量的低频成分采用较小阈值,以确保图像恢复时的质量-Image Compression
DWT
- 用DWT实现二维小波变换 二维小波分解 重构图形与原始图像误值-With the realization of two-dimensional wavelet transform DWT wavelet decomposition of two-dimensional graphic reconstruction of the original image with the wrong value
modetest
- 不同小波在不同的分解模式下3级分解与重构图像,供大家参考学习。-Wavelet decomposition of different modes in different decomposition and reconstruction of three images for your reference study.
dwt-watermarking
- 本利用MATLAB,结合aronld变换实现了基于小波分解的图像数字水印算法,经调试通过-The use of MATLAB, with aronld Transform Wavelet-based Image Watermarking by debugging through the
Multiwavelet
- 此程序实现构造多小波并实现多小波分解2-D图像-This program implementation and to construct the multi-wavelet decomposition wavelet 2-D image
FaceRecognitionBasedonWaveletTransform
- 基于小波变换的人脸识别代码本代码对图像进行小波分解,然后又用最近邻方法实现了图像的识别。-Face Recognition Based on Wavelet Transform code-wavelet based face recognition, the code of the image wavelet decomposition, and then with the nearest neighbor method to achieve the image recognition!
matlab-waveletprocess
- 讲解了 MATLAB语言环境下 图像压缩和图像融合方面的基本方法和基于小波变换的图像分解与重构。-Explained the MATLAB language environment, image compression and image integration of the basic methods and wavelet-based image decomposition and reconstruction.
Multiwavelet
- 其中一个构造多小波,另一个用多小波分解2-D图像。-2-D multi-wavelet construction and implementation.
wavelet
- 实现小波包能量分解(6层分解),且易于参考从而编写出小波能量分解。-Implementation of wavelet packet energy decomposition (decomposition of 6-layer), and easy-to-reference to the preparation of a wavelet decomposition of energy.
xiaoshutuxiang
- 深入研究对基于零树的小波图像压缩算法,利用多分辨分析对图像进行了小波分解,并利用零树编码算法对图像进行压缩。 -In-depth study of the zero-tree wavelet-based image compression algorithm using multi-resolution analysis of wavelet image decomposition, and using zero-tree coding algorithm for image compres
wave
- 小波分层阈值去噪,用sym4小波对图像信号进行3层小波分解-On Wavelet threshold denoising using wavelet image signal sym4 3-layer wavelet decomposition
wavedec2
- 该程序利用小波多尺度分解,提取近似系数和细节系数重构原图像-It uses wavelet decomposition to extract approximate coefficients and detail coefficients of the original image reconstruction
fingerprint
- 能够实现对灰度图像进行小波分解,并且分别利用低频和高频系数重构图像-Can be achieved on the gray image using wavelet decomposition and the use of low frequency and high frequency coefficients respectively, the reconstructed image
imagefusion
- 用wavedec2()函数对b1,b2两幅图像进行小波分解, 采用’db1’小波,分解到第三级 融合两幅图像。-With wavedec2 () function b1, b2 the two images were decomposed using ' db1' wavelet decomposition to the third level fusion of two images.
haardb10
- haar和db10小波分解重构图像 haar和db10小波分解重构图像-haar and db10 wavelet decomposition of the reconstructed image and db10 haar haar wavelet decomposition of the reconstructed image and db10 wavelet decomposition of the reconstructed image
xiaobo
- 二位小波图像增强 比较基本的小波变换 小波分解 图像增强-Image enhancement
xiaoboDCT
- 在MATLAB中采用DCT的方法及小波分解的方法分别对多光谱图像进行数据融合。-DCT in MATLAB, using the method and the method of wavelet multi-spectral images respectively for data fusion.
xx
- 本文详细描述了基于小波包的纹理图像去噪方法: 噪声对图像的后续处理影响较大,常用的去噪方法虽然可以去除变化平缓的图 像中的噪声,但对细节较多的纹理图像的去噪效果却不太理想, 文中基于信号和噪声在小 波分解中呈现出来的不同特性,提出了一种新颖的小波包去噪算法, 采用该算法对纹理图 像进行最优小波包分解,并计算每个子频带的两个范数,然后根据范数值区分信号和噪 声,从而达到去除噪声的目的, 实验结果表明,该算法对皮革图像具有较好的去噪效果,不 仅可以去除纹理图像中的大部分
wavelet
- 为了避免常规正交小波变换所引起的图像边缘失真,特别采用了双正交小波变换进行图像 的多分辨率分解。在融合处理时,为了获得更丰富的细节和更好的融合效果,对不同分解层、不 同方向上的高频分量以及同一分解层图像中的不同区域均采用不同的融合算子。实验结果表明, 该融合方法和融合规则是十分有效的,融合后图像的边缘和纹理细节都更加突出-In order to avoid the conventional orthogonal wavelet transform image edge distort
xiaobo
- 基于小波灰度相似关联强噪声图像处理算法。通过对图像进行三层小波分解,得到各个方向上的分量。然后根据同一方向上各层之间的灰色关联度区分是噪声还是边缘。在对该点值进行增强或减弱。从而实现对强噪声图像的滤波。该算法比其他算法效果更明显。-Gray similarity based on wavelet image processing algorithms associated with strong noise. Three of the images by wavelet decompositio