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: 基于低频融合算法和小波变换编写的图像融合Matlab程序,包含了基本的小波图像分解与重构程序。-Fusion algorithm based on the low-frequency and wavelet transform image fusion prepared Matlab procedures, including the basic wavelet image decomposition and reconstruction process. Platform: |
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Author:yuhua |
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Description: 基于Matlab的数字图像相关法的程序实现,本文简单介绍了基于小波变换的图像分解和重构,在此基础上讨论了Matlab语言环境下图像压缩和图像融合的基本方法。-Matlab-based digital image correlation method of the program, this article briefly introduce the wavelet-based image decomposition and reconstruction, on the basis of discussion under the Matlab language environment image compression and image fusion of the basic method. Platform: |
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Author:feng |
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Description: dctcom.m文件利用DCT变换完成对输入图像进行压缩;imagecbe.m完成对输入的两幅RGB图像用小波分析的方法进行图像融合 imagecom.m完成对输入的RGB图像用小波分析的方法进行自动降噪,得到高频系数阈值,降噪效果百分比和结果 wavelet1D.m完成对输入的一维信号进行多尺度离散小波分解 wavelet2D完成对输入的二维信号进行多尺度离散小波分解;zigzag.m完成对输入的8*8矩阵按照zigzag排列抽取数据.-document the use of DCT transform dctcom.m completion of the input image compression imagecbe.m completion of the two RGB input image with wavelet analysis method of image fusion imagecom.m completion of the input RGB image using wavelet analysis method automatically drop noise, the threshold of high-frequency coefficient, noise reduction effect and the results of the percentage of wavelet1D.m completion of the input signals of one-dimensional discrete wavelet multi-scale decomposition wavelet2D completion of the input signals of two-dimensional discrete wavelet multi-scale decomposition zigzag.m completed the input of 8* 8 matrix of data collected in accordance with the zigzag order. Platform: |
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Author:zhouhao |
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Description: A collection of functions is presented which includes 2nd generation wavelet decomposition and reconstruction tools for images as well as functions for the computation of moment invariants. The wavelet schemes rely on the lifting scheme of Sweldens. Rectangular grids are split into quincunx grids, also known as red-black ordering. The prediction filters include Neville filters as well as a few nonlinear ones fairly capable of preserving local maxima or minima. The decomposition and reconstruction functions are called in the style of the Matlab Wavelet Toolbox. Many small and a few elaborate examples have been included, ranging from the
computation of moment invariants to
multiresolution image fusion. Please
see Contents.m for an exhaustive list.
-A collection of functions is presented which includes 2nd generation wavelet decomposition and reconstruction tools for images as well as functions for the computation of moment invariants. The wavelet schemes rely on the lifting scheme of Sweldens. Rectangular grids are split into quincunx grids, also known as red-black ordering. The prediction filters include Neville filters as well as a few nonlinear ones fairly capable of preserving local maxima or minima. The decomposition and reconstruction functions are called in the style of the Matlab Wavelet Toolbox. Many small and a few elaborate examples have been included, ranging from the computation of moment invariants to multiresolution image fusion. Please see Contents.m for an exhaustive list. Platform: |
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Author:yuan |
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Description: 本文简单介绍了基于小波变换的图像分解与重构,在此基础上讨论了MATLAB语言环境下
图像压缩和图像融合的基本方法-This article briefly introduce the wavelet-based image decomposition and reconstruction, on the basis of discussion under the MATLAB language environment image compression and image fusion of the basic method Platform: |
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Author:gyq |
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Description: 用wavedec2()函数对b1,b2两幅图像进行小波分解, 采用’db1’小波,分解到第三级 融合两幅图像。-With wavedec2 () function b1, b2 the two images were decomposed using ' db1' wavelet decomposition to the third level fusion of two images. Platform: |
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Author:YY7EE |
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Description: 文中的方法是把图像分块,小波分解得到低频分量、高频分量,然后计算每一块的对比度,把图像块划分为清晰块、模糊块,把清晰块和模糊块相邻的区域定义为边界区域,融合时,直接选取清晰块作为融合后的相应块,对于边界区域,在小波分解的基础上采用基于对比度的像素选取的方法进行处理。-Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then calculate the contrast of each piece, the image block is divided into clear blocks, fuzzy block, to clear blocks and fuzzy block is defined as the border region adjacent to area, integration time, a clear block directly select the corresponding block as a fusion, for the border region, the wavelet decomposition on the basis of the pixel-based contrast method selected for processing. Platform: |
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Author:许国柱 |
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Description: 小波分析在图像处理中有非常重要的应用,包括图像压缩,图像去噪,图像融合,图像分解,图像增强等。文中给出了详细的程序范例,用MATLAB实现了基于小波变换的图像处理。-Wavelet analysis in image processing has very important applications, including image compression, image denoising, image fusion, image decomposition, image enhancement. The paper gives detailed procedures for example, implemented with the MATLAB image processing based on wavelet transform. Platform: |
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Author:ZHAOYU |
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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: 在matlab平台上对小波分解实现图像融合结果进行评价的算法-Wavelet decomposition image fusion evaluation of the results of the algorithm in Matlab platform Platform: |
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Author:朱玉坤 |
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Description: 小波变换-图像融合的matlab代码~
图像融合实验。显微镜或照相机在某一次固定焦距下清晰成像的物距是一定的,即成像的物体只有一个层面是清晰而其它层面是模糊的,需要我们把各幅在不同焦距下的图像融合成一张图像,使得远近的物体都清晰。
设定好融合图像数、小波分解的层数、彩色图像的通道数等几个参数后,可对原图像进行融合。
本算法首先对彩色图像变成YIQ空间,对所有图像的各个颜色分量进行小波分解,然后在小波变换域上根据某种策略选取系数,最后做小波反变换和YIQ反变换即得结果图像。-Wavelet transform- image fusion matlab code to image fusion experiments. Microscope or camera in a fixed focal lengths clear imaging object distance is certain that the imaging of objects is only one level is clear and at other levels is vague, we need various pieces of different focal lengths, image fusion into an image, near and far objects in focus. Set fused image, wavelet decomposition of the number of layers, the number of channels of the color image and several other parameters, the original image fusion. The algorithm first color image into the YIQ space, each color component of the image wavelet decomposition, according to a strategy selection coefficient in the wavelet transform domain, and finally do the inverse wavelet transform and YIQ inverse transform to obtain the resulting image. Platform: |
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Author:吴迪 |
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Description: 利用matlab进行小波分解,然后重构得到融合影像,并进行傅里叶分类-The use of matlab wavelet decomposition, and then reconstruct fused image and Fourier classification Platform: |
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Author:于霄汉 |
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Description: 采用了小波变换的方法实现了红外光图像与可见光图像的融合,并且设计了一个简单的matlab GUI界面。小波变换的分解层数为2层,采用低频平均高频取大的融合规则,融合效果非常欢迎下载。(The method of wavelet transform is used to realize the fusion of infrared and visible light images, and a simple matlab GUI interface is designed. The number of decomposition layers of the wavelet transform is 2 layers, and the fusion rule is adopted by the low frequency average high frequency. The fusion effect is very welcome to download.) Platform: |
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Author:zll134
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Description: 小波变换相关函数在matlab中如何应用
小波分解和重构过程
小波变换在图像压缩、融合等方面的应用并用matlab来实现(How to apply wavelet transform correlation function in MATLAB
Wavelet decomposition and reconstruction process
The application of wavelet transform in image compression and fusion is realized by MATLAB.) Platform: |
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Author:ysm_ |
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