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Description: Included are the files wav1.m, wav2.m, wavecoef.mat and readme.
wav2 function implements the tree structured wavelet transform of the input matrix, up to the given level of decomposition. Wav2 uses another function called wav1, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coefficients are used for wavelet transform operation wahich is saved in wavcoeff.mat.
-Included are the files wav1.m, wav2.m. wavecoef.mat and readme. wav2 function biennium max the tree structured wavelet transform of t he input matrix. given up to the level of decomposition. Wav2 use s wav1 another function called, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coeffici separations are used for wavelet transform operation w ahich is saved in wavcoeff.mat.
Platform: |
Size: 4377 |
Author: yupenghui |
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Description: Included are the files wav1.m, wav2.m, wavecoef.mat and readme.
wav2 function implements the tree structured wavelet transform of the input matrix, up to the given level of decomposition. Wav2 uses another function called wav1, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coefficients are used for wavelet transform operation wahich is saved in wavcoeff.mat.
-Included are the files wav1.m, wav2.m. wavecoef.mat and readme. wav2 function biennium max the tree structured wavelet transform of t he input matrix. given up to the level of decomposition. Wav2 use s wav1 another function called, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coeffici separations are used for wavelet transform operation w ahich is saved in wavcoeff.mat.
Platform: |
Size: 4096 |
Author: yupenghui |
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Description: 采用a trous算法实现静态小波变换(SWT),
分解两层,可很好的实现降躁.-A trous algorithm using a static wavelet transform (SWT), decomposition of a two-tier could be a good realization of descending impatient.
Platform: |
Size: 1024 |
Author: 李澍 |
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Description: 连续小波变换程序，输入二进制文件，然后然后进行小波变换 C语言程序-/*this program compute the contious wavelet transform of the signal in a data file
using the Professor A.Grossman s approach.
the analyzing basic wavelet is modulated gaussian:
exp(iwt)exp(-t**2/2)where w si the oscillation frequence w=5.
Platform: |
Size: 2048 |
Author: willee |
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Description: 给出了一种新的基于小波多尺度分解的分层图像融合方法. 其基本思想是先对源图像
进行小波多尺度分解 其次, 按照融合规则, 采用基于区域特性量测的选择及加权算子去构造融
合图像对应的小波系数 最后, 通过逆小波变换重构融合图像. 该方法被成功地用于图像的融合
处理. 此外, 利用熵、交叉熵、互信息、均方根误差、峰值信噪比等参量, 对该融合方法的融合性能
进行了评价与分析. 实验结果表明, 该融合方法是十分有效的- A novel h ierarch ical image fusion scheme based on wavelet mult iscale de2
compo sit ion is p resented. The basic idea is to perfo rm a wavelet mult iscale decompo si2
t ion of each source image first, then the wavelet coefficient s of the fused image are
const ructed using region2based select ion and weigh ted operato rs acco rding to different
fusion rules, finally the fused image is obtained by tak ing inverse wavelet t ransfo rm.
Th is app roach has been successfully used in image fusion. In addit ion, w ith the use of
the parameters such as ent ropy, cro ss ent ropy, mutual info rmat ion, roo t mean square
erro r, peak2to2peak signal2to2no ise rat io, the perfo rmance of the fusion scheme is e2
valuated and analyzed. The experimental result s show that the fusion scheme is effec2
t ive.
Platform: |
Size: 385024 |
Author: liuzhao |
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Description: 小波变换在数字图像处理中的应用是小波变换典型的应用之一。由信号分析中傅里叶变换的不足引出小波变换, 然后简单介绍了小波变换的定义和种类, 分析了小波变换的性质和Mallat 算法, 总结了小波变换在数字图像处理中的四种应用:基于小波变换的图像压缩、图像去噪、图像增强和图像融合, 分析了四种应用的过程及特点, 同时进行了相应的Matlab试验与仿真。试验结果表明, 小波变换在数字图像处理中的应用切实可行、简单方便、效果好、有很强的实用价值, 有较好的应用前景。-The applicatio n of wave let transform in digital imag e processing is one o f the ty pical applications of wavelet transform .The w avelet transform is introduced fo r the lack o f Fourier tr ansfo rm in the sig nal analysis , the definitio n and types of the wavelet transform ar e pro po sed briefly , and its proper ties and Mallat alg orithm a re analy zed .Fo ur kinds o f applicationsof wavelet transfo rm in dig ita l image pro ce ssing ar e summarized(imag e compr essio n, image denoising , image enhancement and image fusion based o n w avele t tr ansfo rm), the processe s and char acte ristics of this fo ur kinds of applicatio ns are analyzed,meanw hile the co r respo nding Ma tlab ex pe riment and simulatio n ar e made .Ex perimental results show that it is practical, simple , convenient a nd effective , and has a stro ng practical value and a g oo d applicatio n pro spects for the wavele t transform in digital image pro cessing .
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Size: 506880 |
Author: kiel |
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