搜索资源列表
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.
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
wavelet
- matlab小波分析源程序，包含小波分解去噪，奇异点检测，实际工程中的故障检测，图像处理-matlab
medicalcengshu
- ：根据小波低频子带图像的轮廓模糊度和高频子带图像的细节信息量随小波分解层数增多而增多的规律，从图像熵 出发，提出了一种基于低频子带图像熵差的最佳小波分解层数选择法, 该方法通过计算不同分解层数下各低频子带的图像 熵差，选择最接近原始图像熵差的分解层数作为最佳分解层数。用多种基于小波变换的图像融合法分别对两组医学图像进 行仿真实验，结果表明根据该分解层数选择法得到的融合图像目视效果最好，与相关系数、峰值信噪比、模糊Chebyshev 距离 值等客观评价指标保持了很好的一致性。
DWT_2D_matlab
- 用DWT实现二维小波变换：对图像进行二维小波分解，显示分解结果，最后重构源图像并显示结果 -Achieved using two-dimensional wavelet transform DWT: two-dimensional wavelet decomposition of the image, showing decomposition results, and finally reconstruct the source image and display the results
Haar-wavelet-image--processing
- 用matlab编写的基于Haar小波变换的图像增强处理，同时可实现小波正变换，小波逆变换，实现小波分解与重构源代码。-Written by matlab Haar wavelet-based image enhancement processing, and can achieve positive wavelet transform, inverse wavelet transform, wavelet decomposition and reconstruction to achieve t
wavedec
- 用wavedec2()函数对b1,b2两幅图像进行小波分解, 采用’haar’小波, 尝试着分解到第二或第三级 融合两幅图像。-With wavedec2 () function b1, b2 two images using wavelet decomposition, using haar wavelet, trying to break into the second or third grade fusion of two images.