Description: 针对多聚焦图像融合，本文首先介绍了小波变换融合算法，虽然小波变换方法无冗余，高频分量损失较小，具有较好的融合效果，但存在两个主要缺点：一是移变性，二是融合图像在重构时会受到一些外来因素的影响，所以仍会丢失一些边缘信息，为了克服小波变换法的以上缺点，可以采用基于小波分解和点扩展函数模型PSF相结合的融合方法。该方法首先对不同的图像进行无降2采样的小波分解，以保持与源图像大小相同，然后分别将其各方向、各尺度的高频分量进行叠加，并依此提取其高频分量的特征信息来判定清晰目标或模糊目标，以此来设计融合算法，采用一定的策略将两副源图像进行融合，从而避开了小波的反变换，因此融合后的图像具有比小波变换法更好的融合效果。-multi-focus image fusion, this paper introduces the wavelet transform algorithm, Although the wavelet transform non-redundant, the loss of high-frequency components are smaller, better integration effect, But there are two major drawbacks : First, the shift variability and the second is the integration of image reconstruction will be subject to a number of external factors. Therefore, there would still be some marginal loss of information, in order to overcome the wavelet transform of the above shortcomings, can be used based on wavelet decomposition and the point spread function PSF model combining the fusion method. The first pair of different images ratchet two sampling wavelet decomposition, and to maintain the same source image size. Then all of its direction, the scale of high-freque Platform: |
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Author:廖鑫鹏 |
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Description: 一种新的基于局部小波统计特性的多聚焦图像融合算法-A new wavelet based on local statistical characteristics of multi-focus image fusion algorithm Platform: |
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Author:lieutenant |
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Description: 基于支持向量聚类的多聚焦图像融合算法.
从无监督机器学习角度提出了一种基于SVC(support vector clustering)的图像融合规则,解决了基于
SVM(support vector machine)的融合规则在处理多聚焦图像融合问题时所引起的区域混叠与非平滑过渡问题,进一步提高了融合图像的质量.-Based on support vector clustering algorithm for multi-focus image fusion. Never oversight perspective of Machine Learning Based SVC (support vector clustering) of the image fusion rules, to resolve based on SVM (support vector machine) the integration of the rules deal with multi-focus at image fusion problem arising from the regional-aliasing problem with non-smooth transition to further enhance the integration of image quality. Platform: |
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Author:pzy |
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Description: 用C写的图像融合代码，包括了医学图像融合、多焦点图像融合和多传感器图像融和等多种类型的融和算法，运行速度快。-Image fusion with the C written code, including the medical image fusion, multi-focus image fusion and multi-sensor image fusion and many other types of fusion algorithms, to run fast. Platform: |
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Author:王文波 |
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Description: 提出了一种基于第二代曲波变换的多聚焦图像融合方法。将两幅源多聚焦图像分别进行第二代曲波变换分解，得到各自的低频
子带系数和各带通方向子带系数；采用一定的融合规则对曲波变换系数进行组合得到融合图像的曲波系数；最后对得到的曲波系数进行曲波
重构得到融合图像。实验结果表明，该方法的融合效果明显优于常见的融合方法-Proposed a second generation curvelet transform based multi-focus image fusion method. Two multi-focus image will be the source for the second generation curvelet transform were decomposed into their low-frequency sub-band coefficients and the band-pass directional subband coefficients with certain fusion rules of the curvelet transform coefficients of fused image is obtained by combining the music wave coefficient Finally, curvelet coefficients obtained by curvelet reconstruct the fused image. Experimental results show that the fusion is better than the common fusion Platform: |
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Author:程德志 |
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Description: 多聚焦图像融合，将两张到六张不同焦点的图片合成成一张。-Multi-focus image fusion, will be the focus of two to six different images into a synthesis. Platform: |
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Author:甘明辉 |
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Description: 本论文的主要内容包含以下几个方面:
首先，论述了图像融合技术的基本理论、现状和方法，并对多聚焦图像融合
算法及融合结果的评价方法做了分类。
其次，论述了小波理论及其图像的小波分解和重构，研究了小波分解层数及
小波基函数的选择对多聚焦图像融合效果的影响，并给出了在多聚焦图像融合算
法中最佳小波分解层数和小波基函数的选取
再次，研究了基十小波变换的多聚焦图像融合方法，并提出了改进后的基十
小波变换区域对比度的多聚焦图像融合方法，并利用Matlab工具进行算法进行了
仿真实验
最后，总结本论文的研究成果和不足，并指出发展方向。-The following main parts are included.
Firstly, this paper discussed the basic theory, present state and means of image
fusion technology, classified multi-focus image fusion algorithm and evaluation means of image fusion consequences.
Secondly, this paper discussed the wavelet theory and the wavelet decomposition
and reconstruction of image, studied the effects on selection of wavelet basis function
and wavelet decomposition level to multi-focus image fusion, at last the best choices are
proposed.
Thirdly, a new method: regional contras of wavelet transformation are proposed for
multi-focus image fusion based on wavelet transformation and Matlab is employed to
simulation algorithm
Finally, this paper summarized the research achievement and insufficient of this
paper and pointed out development direction.
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Author:ZHANGCHUNYANG |
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Description: We propose in this paper a novel approach to image fusion in which the fusion rule is guided by optimizing an image clarity
function. A Genetic Algorithm is used to stochastically select, relative to the clarity function, the optimum block from among the
source images. A novel nested Genetic Algorithm with gifted individuals found through bombardment of genes by the mutation
operator is designed and implemented. Convergence of the algorithm is analytically and empirically examined and statistically
compared (MANOVA) with the canonical GA using 3 test functions commonly used in the GA literature. The resulting GA is
invariant to parameters and population size, and a minimal size of 20 individuals is found to be sufficient in the tests. In the
fusion application, each individual in the population is a finite sequence of discrete values that represent input blocks. Platform: |
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Author:fia4joy |
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Description: 这是一篇关于利用像素邻域SML的多焦距图像融合方法的文章，可用于进行图像的融合。-This is an article on the use of multi-pixel neighborhood SML focal length image fusion method can be used for image fusion. Platform: |
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Author:棉花糖 |
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Description: Ishita De a, Bhabatosh Chanda的论文Multi-focus image fusion using a morphology-based focus measure in a quad-tree structure，实现多图像的融合-Ishita De a, Bhabatosh Chanda paper Multi-focus image fusion using a morphology-based focus measure in a quad-tree structure, to achieve the integration of multi-image Platform: |
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Author:changyibin |
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Description: 最新的多焦距图像融合方面的几篇文章。可以把多幅不同焦距的图片融合成一张清晰的图片。-The latest multi-focal length of the image fusion aspects of articles. You can put multiple images of different focal lengths fused into a clear picture. Platform: |
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Author:猫熊 |
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Description: Multi-focus image fusion in wireless visual sensor networks
(WVSN) is a process of fusing two or more images to obtain
a new one which contains a more accurate description of the
scene than any of the individual source images. Platform: |
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Author:Dheena |
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Description: 该代码为文章“Boundary-Finding-based-Multi-focus-Image-Fusion-master”源代码，利用边缘发现来实现聚焦区域的检测，提高了融合图像质量。(It is a novel boundary finding based multi-focus image fusion algorithm, in which the task of detecting the focused regions is treated as finding the boundaries between the focused and defocused regions from the source images. According to the found boundaries, the source images could be naturally separated into regions with the same focus conditions.) Platform: |
Size: 4194304 |
Author:anlang |
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Search - multi focus image fusion