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Description: 使用二维双密度小波2-D Double-Density DWT Thresholding Method，决定图像滤波门限值，实现图像去噪处理。-use of two-dimensional density Wavelet 2-D Double-Density DWT Thresho lding Method, the decision threshold image filtering, image denoising.
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Size: 612713 |
Author: 李彪 |
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Description: This a self-contained package including the 2-D DWT and inverse DWT
routines. The included matlab routines are used to generate noisy example
images and disply the result of denoising.
Platform: |
Size: 183722 |
Author: 张志 |
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Description: 使用二维双密度小波2-D Double-Density DWT Thresholding Method，决定图像滤波门限值，实现图像去噪处理。-use of two-dimensional density Wavelet 2-D Double-Density DWT Thresho lding Method, the decision threshold image filtering, image denoising.
Platform: |
Size: 612352 |
Author: 李彪 |
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Description: This a self-contained package including the 2-D DWT and inverse DWT
routines. The included matlab routines are used to generate noisy example
images and disply the result of denoising.
Platform: |
Size: 183296 |
Author: |
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Description: openjpeg的最新版本1.3。
与1.2版相比，主要对DWT与T1编码部分进行了速度优化。-openjpeg the latest version of 1.3. Compared with the 1.2 version, mainly for the DWT with the T1 encoding part of a speed optimization.
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Size: 1004544 |
Author: wgy |
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Description: 内共有两个程序：1.用Mallat算法实现一维小波变换；2.用DWT实现二维小波变换。
从仿真图可以加深对小波概念及小波变换的原理。-A total of two procedures: 1. Mallat algorithm using one-dimensional wavelet transform 2. With the realization of two-dimensional wavelet transform DWT. From the simulation wavelet map can deepen their understanding of the concept and the principle of wavelet transform.
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Size: 2048 |
Author: |
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Description: One dimensional wavelet transform s input data from file dataIn.txt
h[] : -1 0 1 2
g[] : 1 1 0 3
c[] : 1 4 2 5 4 6 7 8-One dimensional wavelet transform s input data from file dataIn.txt
h[] :-1 0 1 2
g[] : 1 1 0 3
c[] : 1 4 2 5 4 6 7 8
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Size: 1024 |
Author: 王通 |
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Description: 用DWT实现二维小波变换,调原始图像矩阵后进行二维小波分解，重构源图像及结果显示-Wavelet transform in 2-D dimentation
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Size: 2048 |
Author: sun |
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Description: 2-band discrete wavelet transform (DWT)
Dual-Tree Complex Wavelet Packet-The 2-band discrete wavelet transform (DWT) provides
an octave-band analysis in the frequency domain, but this
might not be ‘optimal’ for a given signal. The discrete wavelet
packet transform (DWPT) provides a dictionary of bases over
which one can search for an optimal representation (without
constraining the analysis to an octave-band one) for the signal
at hand. However, it is well known that both the DWT and the
DWPT are shift-varying. Also, when these transforms are extended
to 2-D and higher dimensions using tensor products, they
do not provide a geometrically oriented analysis. The dual-tree
complex wavelet transform (DT-CWT), introduced by Kingsbury,
is approximately shift-invariant and provides directional analysis
in 2-D and higher dimensions. In this paper, we propose a method
to implement a dual-tree complex wavelet packet transform (DTCWPT),
extending the DT-CWT as the DWPT extends the DWT.
To find the best complex wavelet packet frame for a given
signal, w
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Size: 4096 |
Author: 王方 |
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Description: 小波DWT变换，一般大家是用matlab实现，但是这段程序是用c语言编写。-wavelet dwt
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Size: 2048 |
Author: 吕倩 |
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Description: 本程序用DWT实现二维小波变换,进行二维小波分解并显示分解结果。-Mallat algorithm for 2-D wavelet transform. M-file Download
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Size: 1024 |
Author: 王凌霞 |
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Description: One of the advantages of the dual-tree complex wavelet transform is that it can be used to implement 2D wavelet transforms that are more selective with respect to orientation than is the separable 2D DWT.
There are two versions of the 2D dual-tree wavelet transform: the real 2-D dual-tree DWT is 2-times expansive, while the complex 2-D dual-tree DWT is 4-times expansive. Both types have wavelets oriented in six distinct directions.
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Size: 82944 |
Author: Dhivya Priya |
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Description: 基于2-D DFT-DWT的小波变换，绝对可以执行，只需要按程序的更改相应图片名字即可-2-D DFT-DWT of the image edge extraction procedure
Platform: |
Size: 1024 |
Author: 于 |
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Description: This a self-contained package including the 2-D DWT and inverse DWT
routines. The included matlab routines are used to generate noisy example
images and disply the result of denoising.-This is a self-contained package including the 2-D DWT and inverse DWT
routines. The included matlab routines are used to generate noisy example
images and disply the result of denoising.
Platform: |
Size: 183296 |
Author: Maxwell |
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Description: 复杂的二维双树离散小波变换(DWT)同样也引起了小波在六个不同的方向,但是,在这种情况下有两种小波在每个方向将如下所示。在每一个方向,一个两个小波可以被解释为一个复数的真实部分2 d小波,而其他小波可以被解释为一个复数的虚部2 d小波。因为复杂的版本有两倍的小波作为真正的版本的转换、复杂的版本是4次膨胀。复杂的二维双树被实现为四个严格采样可分二维DWTs操作在并行。然而,不同的过滤器集一起使用的行和列。正如在现实情况下,金额和不同的子带图像进行小波得到定向。复杂的二维双树DWT的图像x是由以下函数计算,cplxdual-The complex 2D Doubletree discrete wavelet transform (DWT) also caused a Wavelet in six different directions, but in this case there are two wavelet in each direction will be as follows. In each direction, a two wavelet can be interpreted as a plural real part of the 2 d wavelet other wavelet can be interpreted as the imaginary part of a complex of 2 d wavelet. Complex version wavelet twice as much as the real version of the conversion, the complex version 4 expansion. The complex 2D Doubletree achieve four rigorous sampling can be divided into two-dimensional DWTs operating in parallel. However, different filter sets with rows and columns. As in the real case, the amount and the different sub-band image to the wavelet get directed. Complex two-dimensional image of Doubletree DWT x is calculated by the following function, cplxdual
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Size: 1024 |
Author: 陈静 |
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Description: Colourhistogram
II. TEXTURE FEATURE EXTRACTION IN CBIR
An overview of the proposed CBIR system is illustrated
in Fig. 1. The proposed algorithm, Label Wavelet Transform
(LWT), is based on color image segmentation [1], and it is
an extension of DWT-based texture feature extraction method.
The 2-D DWT is computed by applying separable filter banks
to the gray level images. The detail images Dn,1, Dn,2,
and Dn,3 are obtained by band-pass filtering in a specific
direction, and they can be categorized into three frequency
bands: HL, LH, HH band, respectively. Each band contains
different directional information at scale n. The texture feature
is extracted from the variance (ó2
n,i) of the coefficients cn,i of
the detail image Dn,1, Dn,2, and Dn,3 at different scale n.To
represent the texture feature of an image q, the texture feature
vector of DWT is defined as [2]:
TDWT (q) = [ó2
1,1, ó2
1,2, ó2
1,3, ..., ó2N
max,3], (1)
where Nmax denotes the largest scale. In this work, Nmax
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Size: 1024 |
Author: lavanya |
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Description: 调用函数来计算正向和反向的2-D的Haar小波主程序-Main program for calling functions to compute forward and inverse 2-D Haar DWT
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Size: 1024 |
Author: 张成 |
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Description: 这是二维离散小波变换程序，里面附带程序说明，及实例讲解。-This is a two-dimensional discrete wavelet transform, which comes with the program instructions and examples to explain.
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Size: 43008 |
Author: dm |
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Description: 隐马尔科夫树模型，这是一个自包含的程序包，包括2维离散小波变换和逆小波变换
例程。在每个子带中每个刻度的所有小波系数都绑在一起，避免了模型的过度拟合。-This is a self-contained package including the 2-D DWT and inverse DWT
routines. All wavelet coefficients at each scale within each subband are tied together to avoid overfitting of the model.
Platform: |
Size: 541696 |
Author: dxx |
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Description: 离散小波变换在图像处理去噪中的应用
经典文献 IEEE的(ECG signal compression using 2-D DWT Hermite coefficients)
Platform: |
Size: 224256 |
Author: 西门子123
|
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