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: contourlet变换源代码,图象处理方面有广泛应用空间-MATLAB source code that implements the contourlet transform and its utility functions. See paper \"The contourlet transform: an efficient directional multiresolution image representation\" included in this zip file. Platform: |
Size: 1493896 |
Author:jason.. |
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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: contourlet变换源代码,图象处理方面有广泛应用空间-MATLAB source code that implements the contourlet transform and its utility functions. See paper "The contourlet transform: an efficient directional multiresolution image representation" included in this zip file. -Contourlet transform source code, image processing has a broad application of space-MATLAB source code that implements the contourlet transform and its utility functions. See paper Platform: |
Size: 1494016 |
Author:jason.. |
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Description: Contourlet变换的实现源码。相关理论可参考:Do M N, Vetterli M. "The contourlet transform: an efficient directional multiresolution image representation" [J]. Image Processing, IEEE Transactions on, 2005, 14 (12): 2091-2106.-Transform realize Contourlet source. Relevant theory may refer to: Do MN, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation [J]. Image Processing, IEEE Transactions on, 2005, 14 (12): 2091-2106. Platform: |
Size: 70656 |
Author:Mordecai |
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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: Contourlet变换提出者Minh.ndo结合论文的Matlab实现源码，可以给从事多尺度图像处理人做一个很好的参考-Contourlet Toolbox (Windows download format also available on MATLAB Central): MATLAB source code that implements the contourlet transform and its utility functions. See paper The contourlet transform: an efficient directional multiresolution image representation. Platform: |
Size: 1336320 |
Author:haifeng |
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Description: 这是一个contourlet工具箱，用来对contourlet变换进行了解和应用-Contourlet toolbox: a MATLAB toolbox for computing the contourlet transform and its applications. The contourlet transform is described in: The contourlet transform: an efficient directional multiresolution image representation, Minh N. Do and Martin Vetterli, IEEE Transactions on Image Processing, December 2005 Platform: |
Size: 439296 |
Author:宁英晶 |
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Description: by Minh Do
Contourlet transform: an efficient and flexible multiresolution, local, and directional image ...
The contourlet transform: an efficient directional multiresolution image representation,
Minh N. Do and Martin Vetterli,
IEEE Transactions on Image Processing,
December 2005. Platform: |
Size: 456704 |
Author:hporange |
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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: Contourlet变换提出者Minh.ndo结合论文的Matlab实现源码，可以给从事多尺度图像处理人做一个很好的参考--Contourlet Toolbox (Windows download format also available on MATLAB Central): MATLAB source code that implements the contourlet transform and its utility functions. See paper The contourlet transform: an efficient directional multiresolution image representation. Platform: |
Size: 1024 |
Author:王乐 |
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Description: A filter bank structure that can deal effectively with piecewise smooth images with smooth contours, was proposed by Minh N Do and Martin Vetterli. The resulting image expansion is a directional multiresolution analysis framework composed of contour segments, and thus is named contourlet. This will overcome the challenges of wavelet and curvelet transform. Contourlet transform is a double filter bank structure. It is implemented by the pyramidal directional filter bank (PDFB) which decomposes images into directional subbands at multiple scales. In terms of structure the contourlet transform is a cascade of a Laplacian Pyramid and a directional filter bank. In essence, it first use a wavelet-like transform for edge detection, and then a local directional transform for contour segment detection. The contourlet transform provides a sparse representation for two-dimensional piecewise smooth signals that resemble images. Platform: |
Size: 14336 |
Author:Aynesh |
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Description: The optimal predictors of a lifting scheme in the general n-dimensional case are obtained and applied
for the lossless compression of still images using rst quincunx sampling and then simple row-column
sampling. In each case, the e ciency of the linear predictors is enhanced nonlinearly. Directional post-
processing is used in the quincunx case, and adaptive-length postprocessing in the row-column case. Both
methods are seen to perform well. The resulting nonlinear interpolation schemes achieve extremely e cient
image decorrelation. We further investigate context modeling and adaptive arithmetic coding of wavelet
coe cients in a lossless compression framework. Special attention is given to the modeling contexts and
the adaptation of the arithmetic coder to the actual data. Experimental evaluation shows that the best of
the resulting coders produces better results than other known algorithms for multiresolution-based lossless
image coding.
- The optimal predictors of a lifting scheme in the general n-dimensional case are obtained and applied
for the lossless compression of still images using rst quincunx sampling and then simple row-column
sampling. In each case, the e ciency of the linear predictors is enhanced nonlinearly. Directional post-
processing is used in the quincunx case, and adaptive-length postprocessing in the row-column case. Both
methods are seen to perform well. The resulting nonlinear interpolation schemes achieve extremely e cient
image decorrelation. We further investigate context modeling and adaptive arithmetic coding of wavelet
coe cients in a lossless compression framework. Special attention is given to the modeling contexts and
the adaptation of the arithmetic coder to the actual data. Experimental evaluation shows that the best of
the resulting coders produces better results than other known algorithms for multiresolution-based lossless
image coding.
Platform: |
Size: 268288 |
Author:dee |
Hits:
Search - Directional Multiresolution