Description: 二代小波用于图像去噪的vc++代码，具有多方向性，是真正的图像变换去噪。-second generation wavelet for Image Denoising vc code, a multi-directional, is the real image Transform. Platform: |
Size: 122428 |
Author:张悦庭 |
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Description: 基于Contourlet变换的水印算法.与小波变换不同的是Contourlet变换采用类似于线段（contoursegment的基得到一种多分辨、局部化、方向性的图像表示。水印信号通过基于内容的乘性方案加载到Contourlet 变换系数。-on Contourlet Transform algorithms. And wavelet transform is different Contour let transformation similar to that segment (the base contoursegment be a multiresolution, Local, Image directional said. Watermark signal through content-based program by loading Contourlet Transform - few. Platform: |
Size: 708876 |
Author:阳光 |
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Description: 二代小波用于图像去噪的vc++代码，具有多方向性，是真正的图像变换去噪。-second generation wavelet for Image Denoising vc code, a multi-directional, is the real image Transform. Platform: |
Size: 123904 |
Author:张悦庭 |
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Description: 基于Contourlet变换的水印算法.与小波变换不同的是Contourlet变换采用类似于线段（contoursegment的基得到一种多分辨、局部化、方向性的图像表示。水印信号通过基于内容的乘性方案加载到Contourlet 变换系数。-on Contourlet Transform algorithms. And wavelet transform is different Contour let transformation similar to that segment (the base contoursegment be a multiresolution, Local, Image directional said. Watermark signal through content-based program by loading Contourlet Transform- few. Platform: |
Size: 708608 |
Author:阳光 |
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Description: 这是一个小波去噪的程序，除了实现了最经典的图像去噪算法外，还使用了最新的带有方向性的小波，去噪效果非常好-This is a wavelet denoising procedure, in addition to realize the most classical image denoising algorithms, but also uses the latest with a directional wavelet, denoising effect is very good Platform: |
Size: 21504 |
Author:粘永健 |
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Description: Contourlet变换结合了不可分离的方向滤波组,具备小波所不能表达的多方向特性,能有效捕获自然图像的边缘轮廓信息。本文分析了图像ontourlet系数的统计特征,并利用广义高斯函数对各子带系数层进行建模。将此模型应用于基于VisTex的自建纹理图像库,采用矩匹配估计法,提取模型参数集,运用K2L距离计算图像间的相似度。对800幅纹理图像进行检索,本文方法比传统小波方法的平均检索查准率高出约2％到10％不等。实验结果表明,该方法改进了导向纹理的描述-Transform Contourlet inseparable combination of the direction of filtering group, have not expressed by wavelet multi-directional properties, can effectively capture the edge of natural image contour information. This paper analyzes the image ontourlet coefficient statistical characteristics, and take advantage of the generalized Gaussian function of the sub-band coefficient modeling layer. Based on this model was applied to the self-VisTex texture image database, using moment matching estimation method, extract the model parameters set, K2L use of distance-based similarity between images. Of 800 texture image retrieval, wavelet method than the traditional method of the average retrieval precision by about 2 to 10 range. Experimental results show that the method improves the texture-oriented description of Platform: |
Size: 198656 |
Author:焦亚民 |
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Description: 方向性小波理论应用特性分析，有关方向小波的学习文献，供大家参考。-Directional characteristics of the application of wavelet theory, the direction of wavelet learning literature, for your reference. Platform: |
Size: 269312 |
Author:光光 |
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Description: gabor_function1该程序对Gabor核函数某个尺度和方位的三维形状和二维平面图像进行显示
gabor_function2该程序对Gabor核函数五个尺度和八个方位的二维平面图像进行显示，共产生40个二维平面图像
这两个程序对理解gabor小波很有帮助哦-gabor_function1 the program of Gabor kernel function of a scale and orientation of the three-dimensional shape and two-dimensional images show that the program gabor_function2 of Gabor kernel five scales and eight-directional two-dimensional images show that a total of 40 have a two-dimensional Planar images of these two procedures useful in understanding the gabor wavelet Oh Platform: |
Size: 1024 |
Author:吴海峰 |
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Description: A paper that I presented on Supervisory Control and Data Acquisition (SCADA) won the second prize at the symposium conducted by the Electrical and Electronics Engineering department of the SRM University. Other topics on which I presented papers were Performance enhancement of wireless sensor networks using directional antennas, Smart card application and wireless communication. Also my research idea titled “Wavelet Based Image Compression Using SPIHT Algorithm “secured third prize in a technical festival. Platform: |
Size: 161792 |
Author:ajeeth |
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Description: A paper that I presented on Supervisory Control and Data Acquisition (SCADA) won the second prize at the symposium conducted by the Electrical and Electronics Engineering department of the SRM University. Other topics on which I presented papers were Performance enhancement of wireless sensor networks using directional antennas, Smart card application and wireless communication. Also my research idea titled “Wavelet Based Image Compression Using SPIHT Algorithm “secured third prize in a technical festival. Platform: |
Size: 522240 |
Author:ajeeth |
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Description: A paper that I presented on Supervisory Control and Data Acquisition (SCADA) won the second prize at the symposium conducted by the Electrical and Electronics Engineering department of the SRM University. Other topics on which I presented papers were Performance enhancement of wireless sensor networks using directional antennas, Smart card application and wireless communication. Also my research idea titled “Wavelet Based Image Compression Using SPIHT Algorithm “secured third prize in a technical festival. Platform: |
Size: 20480 |
Author:ajeeth |
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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 Platform: |
Size: 4096 |
Author:王方 |
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Description: Wavelets and JPEG2000: A brief review
Beyond wavelets and JPEG2000
My exploration
Directional wavelet construction
Adaptive wavelet selection
Inter-subband transform
Outlook Platform: |
Size: 4734976 |
Author:Swati |
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Description: This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method.-This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This is based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method. Platform: |
Size: 432128 |
Author:Swati |
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Description: #
# Hidden Markov Tree Model of Contourlet Transform: MATLAB source code that implements hidden Markov tree models for wavelet and contourlet transforms. See paper Directional multiscale modeling of images using the contourlet transform.-#
# Hidden Markov Tree Model of Contourlet Transform: MATLAB source code that implements hidden Markov tree models for wavelet and contourlet transforms. See paper Directional multiscale modeling of images using the contourlet transform. Platform: |
Size: 2267136 |
Author:dao |
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Description: 双树复小波变换具有平移不变性、方向选择性等特点，适合进行图像压缩，优于传统离散小波变换方法。-The DT-CWT is suitable to image compression processing because of its shift invariance and directional selectivity. It is preferable to traditional Discrete Wavelet Transform(DWT). Platform: |
Size: 1024 |
Author:缪国锋 |
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Description: Contourlets是由抽样的拉普拉斯金字塔(娜laeianPyramid，廿)滤波器和抽样的方向性滤波器组成的小波变换。兰州大学硕士论文，关于多分辨率分析的-Contourlets by sampling Laplacian pyramid (Na laeianPyramid, twenty) filter and sampling the composition of the directional wavelet transform filter. Master' s thesis, Lanzhou University, on the multi-resolution analysis Platform: |
Size: 3740672 |
Author:gigi |
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Description: 二维和三维的离散双树小波正变换和逆变换，具有多方向分辨特性-Doubletree two-dimensional and three-dimensional discrete wavelet transform and inverse transform is, to distinguish features with multi-directional Platform: |
Size: 1892352 |
Author:王伟 |
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Search - directional wavelet