Description: 对图像做二维离散小波变换，分解级数为3级，并重构图像，不直接调用Matlab的dwt和idwt函数。-pair of 2-dimensional images DWT, decomposition of the three series, and Image Reconstruction, not directly call Matlab dwt and idwt function. Platform: |
Size: 2084 |
Author:purpleashan |
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Description: 小波工具箱的应用基础 395
16.1 一维小波分析的应用 395
16.1.1 小波分解在普通信号分析中的应用 395
16.1.2 小波变换在信号特征检测中的应用 411
16.2 二维小波分析的应用 417
16.2.1 小波分析在图像平滑中的应用 417
16.2.2 小波分析在图像增强中的应用 418
16.2.3 小波分析在图像融合中的应用 420
16.3 小波包分析的应用 422
16.3.1 小波包在信号时频分析中的应用 423
16.3.2 小波包在图像边缘检测中的应用 429-toolbox of 16.1 basis of a 395-dimensional wavelet analysis of 395 small 16.1.1 Decomposition of the ordinary wave signal analysis of 395 16.1.2 wavelet transform in signal detection of 41 a 16.2 2D wavelet analysis of 417 16.2.1 wavelet analysis in image smoothing of 417 1 6.2.2 wavelet analysis in image enhancement of 418 16.2.3 wavelet analysis in Image Fusion System 420 16.3 wavelet packet analysis of wavelet packet Entry 422 in the signal frequency analysis of 42 3 16.3.2 wavelet packet in Edge Detection of 429 Platform: |
Size: 3310 |
Author:崔鹏 |
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Description: 对图像做二维离散小波变换，分解级数为3级，并重构图像，不直接调用Matlab的dwt和idwt函数。-pair of 2-dimensional images DWT, decomposition of the three series, and Image Reconstruction, not directly call Matlab dwt and idwt function. Platform: |
Size: 2048 |
Author:purpleashan |
Hits:
Description: 小波工具箱的应用基础 395
16.1 一维小波分析的应用 395
16.1.1 小波分解在普通信号分析中的应用 395
16.1.2 小波变换在信号特征检测中的应用 411
16.2 二维小波分析的应用 417
16.2.1 小波分析在图像平滑中的应用 417
16.2.2 小波分析在图像增强中的应用 418
16.2.3 小波分析在图像融合中的应用 420
16.3 小波包分析的应用 422
16.3.1 小波包在信号时频分析中的应用 423
16.3.2 小波包在图像边缘检测中的应用 429-toolbox of 16.1 basis of a 395-dimensional wavelet analysis of 395 small 16.1.1 Decomposition of the ordinary wave signal analysis of 395 16.1.2 wavelet transform in signal detection of 41 a 16.2 2D wavelet analysis of 417 16.2.1 wavelet analysis in image smoothing of 417 1 6.2.2 wavelet analysis in image enhancement of 418 16.2.3 wavelet analysis in Image Fusion System 420 16.3 wavelet packet analysis of wavelet packet Entry 422 in the signal frequency analysis of 42 3 16.3.2 wavelet packet in Edge Detection of 429 Platform: |
Size: 3072 |
Author:崔鹏 |
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Description: 此示意程序用DWT实现二维小波变换
1.调原始图像矩阵
2.进行二维小波分解
3.分解结果显示
重构源图像及结果显示
-This indicated the procedure using two-dimensional wavelet transform DWT realize one. Transferred the original image matrix 2. To carry out two-dimensional wavelet decomposition 3. Decomposition results show that reconstruction of the source images and results show Platform: |
Size: 1024 |
Author:王雪晴 |
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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. Platform: |
Size: 1024 |
Author:李冰 |
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Description: 利用二维小波分析对一幅图象作2层小波分解,并在此基础上提取各层的低频信息实现图像的压缩.-The use of two-dimensional wavelet analysis of images for a 2-layer wavelet decomposition, and on this basis the low-frequency information extracted all levels to achieve image compression. Platform: |
Size: 2048 |
Author:龙活 |
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Description: 二维图象的小波分解和重构程序，可用于图象处理和数字水印等。-Two-dimensional images of the wavelet decomposition and reconstruction procedure can be used for image processing and digital watermarking, such as. Platform: |
Size: 4096 |
Author:彭邦彦 |
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Description: 先由原始图像（任选）产生待恢复的图像； 利用二维小波分析对一幅图象作2层小波分解,并在此基础上提取各层的低频信息实现图像的压缩。
分别用逆滤波和维纳滤波恢复上面图像。
-First be the original image (optional) to restore the image to be generated the use of two-dimensional wavelet analysis of an image for two-layer wavelet decomposition, and on this basis, the low-frequency information extracted layers for image compression. Were used to inverse filtering and Wiener filter to restore the image above. Platform: |
Size: 1024 |
Author:tony |
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Description: 利用二维小波分析对图像作2层小波分解，并在此基础上提取各层的低频信息。-Image using two-dimensional wavelet analysis for two-layer wavelet decomposition, and on this basis, the low-frequency information extracted layers. Platform: |
Size: 448512 |
Author:李亓 |
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Description: 二维图像信号的去噪步骤：
（1）二维图像信号的小波分解。选择合适的小波与恰当的分解层次N，并对待压缩的二维图像信号进行N层分解计算。
（2）对分解后的每一层高频系数，选择一个恰当的阈值，并对该层高频系数进行软阈值量化处理。
（3）二维图像信号的小波重构。用小波分解后的第N层近似（低频系数）和经过阈值量化处理后的各层细节（高频系数），对二维信号进行小波重构。-Two-dimensional image signal denoising steps: (1) two-dimensional image signal wavelet decomposition. Select the appropriate wavelet decomposition level and the appropriate N, and treatment of compressed N-layer two-dimensional image signal decomposition calculations. (2) of the decomposition of high-frequency coefficients of each layer, select an appropriate threshold, and high-frequency coefficients of the layer of soft threshold quantification. (3) Wavelet two-dimensional image reconstruction. Wavelet decomposition of the first N-layer approximation (low frequency factor) and through the quantification of threshold levels after the details (high frequency coefficients), two-dimensional wavelet reconstruction signal. Platform: |
Size: 4096 |
Author:lujun |
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Description: 这是一个基于图像角点检测并结合奇异值分解实现立体图像中角点匹配的算法。-This is an image corner detection based on singular value decomposition in combination to achieve three-dimensional image corner point matching algorithm. Platform: |
Size: 11264 |
Author:刘翔 |
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Description: 保留了大部分包含信号的小波系数,因此可以较好地保持图象细节。小波分析进行图像去噪主要有3个步骤:(1)对图象信号进行小波分解。(2)对经过层次分解后的高频系数进行阈值量化。(3)利用二维小波重构图象信号。-Retained most of the wavelet coefficients that contains the signal, so you can maintain better image details. Wavelet analysis for image denoising three main steps: (1) wavelet decomposition of the image signal. (2) through the hierarchical decomposition of the high-frequency coefficient thresholding. (3) the use of two-dimensional reconstruction of wavelet image signal. Platform: |
Size: 1024 |
Author:popo |
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Description: mra_mallat_2D_iterate.m实现二维图像的分解，mra_mallat_2D_merge_iterate.m实现二维图像的重构。程序针对2^N*2^M像素的图像设计，可以实现任意次数的分解与重构。也很很方便改写成针对任意像素的程序。-mra_mallat_2D_iterate.m decomposition of the two-dimensional image, mra_mallat_2D_merge_iterate.m two-dimensional image reconstruction. 2 ^ N* 2 ^ M pixel image design, the program can be any number of decomposition and reconstruction. Also, it is very convenient to be rewritten as a procedure for an arbitrary pixel. Platform: |
Size: 2048 |
Author:风源 |
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Description: 分别通过一维小波和二维小波变换实现对一幅图像的2层小波分解，并提取低频系数，最终实现对图像的压缩。-Respectively, through one-dimensional and two-dimensional wavelet wavelet transform image on a two-layer wavelet decomposition and extract low frequency coefficients, and ultimately to achieve image compression. Platform: |
Size: 1024 |
Author:幻雾 |
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Description: WAVEFAST Perform multi-level 2-dimensional fast wavelet transform.
[C, L] = WAVE FAST (X , N, LP, HP) performs a 20 N-level FWT of
image (or matrix) X with respect to decomposition filters LP and
HP.
[C, L] = WAVEFAST(X, N, WNAME) performs the same operation but
fetches filters LP and HP for wavelet WNAME using WAVEFILTER.
Scale parameter N must be less than or equal to 10g2 of the
maximum image dimension. Filters LP and HP must be even. To
reduce border distortion, X is symmetrically extended. That is,
if X = [c1 c2 c3 ... cn] (in 1D), then its symmetric extension
would be [ ... c3 c2 c1 c1 c2 c3 .. , cn cn cn-1 cn-2 ... ]. Platform: |
Size: 3072 |
Author:Hoang Cuong
|
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Search - 2 dimensional image decomposition