Description: matlab官方网站中的用于图像融合技术的contourlet变换源代码，基于contourlet变换的图像融合技术明显优于基于小波变换的图像融合技术-matlab official website for image fusion technology Contourlet transform the source code, based on the Contourlet transform image fusion technology was superior based on wavelet transform image fusion technology Platform: |
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Author:程蓉 |
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Description: 给出了一种基于小波变换的图像融合方法，对小波分解后的低频分量通过度量其图像块空间频率和对比度来确定融合图
像的低频分量，对分解后得到的高频分量，选择高频系数时，基于绝对值最大的原则，并对选择结果进行一致性验证，最后重构得
到融合图像。从仿真结果可以看出，给出的方法很好地保留了多幅原图像的有用信息，融合图像清晰度和对比度都较好，是一种有
效的图像融合算法-This paper presents a wavelet-based image fusion method, after the wavelet decomposition of the low frequency components through the measurement of its image block spatial frequency and contrast to determine the integration of low-frequency component images of decomposition after the high-frequency component, select the high-frequency coefficient and, based on the principle of the absolute value of the largest, and choose to verify consistency of results, and finally remodeling be fused image. From the simulation results can be seen that the method gives a good number of the original image to retain the useful information, integration of image sharpness and contrast are better, is an effective image fusion algorithm Platform: |
Size: 169984 |
Author:wd |
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Description: Please run Demo_evaluation.m
This toolbox contains Matlab files that implement the image fusion criteria used in my paper
Qu Xiao-Bo, YAN Jing-Wen, XIAO Hong-Zhi, ZHU Zi-Qian. Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain. Acta Automatica Sinica, Vol.34, No.12, pp: 1508-1514.Dec.2008. Platform: |
Size: 485376 |
Author:周忠心 |
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Description: 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
出新模型下的最大后验概率(MAP) 分割公式。对实测SAR 图像进行了仿真,仿真结果和分析表明:与小波域上的
HMT2MRF 融合分割及Contourlet 域上HMT 和MRF 分割算法相比,该算法在抑制斑点噪声的同时,有效地提高
了SAR 图像的分割精度- In view of the speckle noise in the synthetic aperture radar (SAR) images , and based on the Contourlet′s
advantages of multiscale , localization , directionality , and anisot ropy , a new SAR image fusion segmentation
algorithm based on the pe rsis tence and clustering in the Contourlet domain is p roposed. The algorithm captures the
pe rsis tence and clus tering of the Contourlet t ransform , which is modeled by hidden Markov t ree (HMT) and Markov
random field (MRF) , respectively. Then , these two models are fused by fuzzy logic , resulting in a Contourlet
domain HMT2MRF fusion model . Finally , the maximum a poste rior (MAP) segmentation equation for the new fusion
model is deduced. The algorithm is used to emulate the real SAR images . Simulation results and analysis indicate that
the p roposed algorithm effectively reduces the influence of multiplicative speckle noise , imp roves the segmentation
accuracy and p rovides a bet te r visual quality for SAR images ove r the Platform: |
Size: 897024 |
Author:周二牛 |
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Description: 基非下采样的Contourlet变换的图像融合，要放到NSCT工具包中执行-Under the base of non-sampling Contourlet transform image fusion, to put the implementation of the toolkit NSCT Platform: |
Size: 1024 |
Author:wangliang |
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Description: 基于非下采样contourlet变换的多视点视频图像融合的MATLAB源码，可以成功运行-Nonsubsampled based multi-view video contourlet Transform MATLAB source image fusion can be run successfully Platform: |
Size: 1491968 |
Author: |
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Description: 基于contourlet的图像融合利用的融合策略是取像素绝对值最大。此方法用得较少，有学习价值-Contourlet based image fusion using the fusion strategy is to take the absolute value of the maximum pixel. This method is used less, the value of learning Platform: |
Size: 96256 |
Author:葛宏 |
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Description: 基于àtrous-Contourlet变换的遥感图像融合算法 罗丽 袁真 王珂 模式识别与人工智能 2007-04-15 期刊-remote sensing image fusion algorithm based on atrous- Contourlet transform Luo Li Yuan Zhen Wang ke pattern recognition and artificial intelligence in the 2007-04-15 journals Platform: |
Size: 634880 |
Author:fang |
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Description: 图像融合论文，基于非下采样Contourlet变换和区域特征的医学图像融合-Image fusion papers, fusion based on nonsubsampled Contourlet transform and regional characteristics of medical images Platform: |
Size: 629760 |
Author:冯洁 |
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Description: Abstract—To overcome the difficulties of sub-band coefficients
selection in multiscale transform domain-based image fusion
and solve the problem of block effects suffered by spatial
domain-based image fusion, this paper presents a novel hybrid
multifocus image fusion method. First, the source multifocus
images are decomposed using the nonsubsampled contourlet
transform (NSCT). The low-frequency sub-band coefficients are
fused by the sum-modified-Laplacian-based local visual contrast,
whereas the high-frequency sub-band coefficients are fused by
the local Log-Gabor energy. The initial fused image is subsequently
reconstructed based on the inverse NSCT with the fused
coefficients. Second, after analyzing the similarity between the
previous fused image and the source images, the initial focus
area detection map is obtained, which is used for achieving the
decision map obtained by employing a mathematical morphology
postprocessing technique. Finally, based on the decision Platform: |
Size: 2480128 |
Author:senthil |
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