Description: 基于DWT域的简单图像融合程序,DWT只做了一层变换,融合分别对高低频进行处理-DWT domain based on a simple image fusion procedure, DWT only a layer of transformation, integration, respectively, for treatment of high-low-frequency Platform: |
Size: 2967552 |
Author:TBS |
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Description: -The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete Wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain. Platform: |
Size: 67584 |
Author:Harry |
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Description: 小波变换是一种快速发展和比较流行的信号分析方法, 其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。小波分析是傅立叶分析思想方法的发展与延拓。除了连续小波
(CWT)、离散小波(DWT), 还有小波包avelet Packet)和多维小波。本文主要介绍小波变换的发展及其在图像处理、的应用-Wavelet transform is a fast-growing and more popular method of signal analysis, image processing in a very important applications, including image compression, image denoising, image fusion, image decomposition, image enhancement and so on. Wavelet analysis is a Fourier analysis method development and extension. Apart from the continuous wavelet (CWT), discrete wavelet (DWT), there are wavelet packet (Wavelet Packet) and multi-dimensional wavelet. This paper describes the development of wavelet transform and its application in image processing Platform: |
Size: 548864 |
Author:yang |
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Description: Image fusion algorithm to fuse images different modalities based on the integration of Fast Discrete Curvelet Transform (FDCT) and the Singular Value Decomposition (SVD).The experimental results show that the proposed algorithm is efficiently handling the edges and the other curved shapes in the images to be fused. The overall execution time of the fusion process is very low compared with the other fast algorithms such as Discrete Wavelet Transform (DWT) fusion algorithm. -Image fusion algorithm to fuse images different modalities based on the integration of Fast Discrete Curvelet Transform (FDCT) and the Singular Value Decomposition (SVD).The experimental results show that the proposed algorithm is efficiently handling the edges and the other curved shapes in the images to be fused. The overall execution time of the fusion process is very low compared with the other fast algorithms such as Discrete Wavelet Transform (DWT) fusion algorithm. Platform: |
Size: 178176 |
Author:M.A. |
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