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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
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超分辨率重建的硕士论文，详细介绍了现有超分辨率重建的常用算法，并提出基于小波的稳健的超分辨率图像重建算法，有考价值。-Super-resolution reconstruction of the master' s thesis, detailing the existing super-resolution reconstruction algorithm used, and the robustness of wavelet-based super-resolution image r
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小波分解，能够对离散信号进行小波分解处理并重构-Wavelet decomposition, can be a discrete wavelet decomposition of signal processing and reconstruction
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基于小波变换的数字全息相关的资料，这些资料对于研究利用小波变换来对数字全息图进行处理比较有用。-holography based on wavelet
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文章涉及了小波一维小波分解和重构的MATLAB程序，程序相当有借鉴意义。-Articles related to the wavelet one-dimensional wavelet decomposition and reconstruction of MATLAB program, the program quite a reference.
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此文档主要是小波分解与重构的VC语言代码，可以直接运行，只要将信号输入。比较清晰的展现了小波分解与重构过程-This document is the the VC language code wavelet decomposition and reconstruction, and can be run directly, as long as the signal input. Comparison clearly shows the wavelet decomposition and rec
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应用db5小波和 bior4.4小波, 对图象cameraman.tif分别进行2层小波分解和重构-The application db5 wavelet bior4.4 of wavelet image cameraman.tif 2-layer wavelet decomposition and reconstruction
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这个文件中包含了一些信息利用小波的图像重建-this file contains some information about image reconstruction by using wavelet
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信号的小波分解与重构原理，在matlab运行，内容详细，并有代码。-Principles of Signal based on wavelet decomposition and reconstruction, to run matlab, detailed, and code.
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The code is for denoising using wavelet decomposition and reconstruction。 This is the implementation of paper "Efficient Image Denoising Method Based on a New Adaptive wavelet packet thresholding function"
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提出了一种结合SVD的小波变换方法，对其在外弹道测量数据中的野值剔除进行了研究。对观测数据进行小波分解，将小波分解后的近似分量和细节分量组合实现相空间重构，作为SVD方法的输入观测矩阵，根据奇异
熵增量准则，对奇异值进行筛选，根据SVD逆变换重构原信号。这一方法克服了Hankel矩阵相空间构建方法数据
端点失真问题。以小波分解后分量重构的相空间可以满足正交性，进一步提高了SVD进行数据降噪和野值检测的精度。仿真数据和试验数据处理结果证明了这一方法的有效性。-Proposed a meth
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小波分析用于去噪,图像压缩，边界扭曲，分解与重构，图像融合，数字水印，边缘检测例子源码-Wavelet analysis for denoising, image compression, border distortion, decomposition and reconstruction, image fusion, digital watermarking, edge detection source code examples
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一种离散小波变换的快速分解和重构算法，详细介绍了算法的过程-A fast discrete wavelet transform decomposition and reconstruction algorithm, described in detail the process of the algorithm
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离散小波变换实现一维离散时间信号的迭代重构-One-dimensional discrete wavelet transform signal reconstruction
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Image reconstruction based on wavelet transform. is very useful to people who want to learn about image reconstruction
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神经网络算法和小波分解与重构，BP（Back Propagation）网络，是一种按误差逆传播算法训练的多层前馈网络-Neural network algorithm and wavelet decomposition and reconstruction, BP (Propagation Back) network, is a kind of multilayer feedforward network trained by the error back propagation algorit
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小波变换的分解与重构，利用小波变换实现对数据的压缩，去噪-Decomposition and reconstruction of wavelet transform, using wavelet transform to achieve data compression, denoising
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利用dwt小波函数实现对数据的小波变换 分解与重构-Wavelet transform of data using DWT wavelet transform decomposition and reconstruction
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SURF意指 加速的具有鲁棒性的特征，由Bay在2006年首次提出，这项技术可以应用于计算机视觉的物体识别以及3D重构中。SURF算子由SIFT算子改进而来，一般来说，标准的SURF算子比SIFT算子快好几倍，并且在多幅图片下具有更好的鲁棒性。SURF最大的特征在于采用了harr特征以及积分图像integral image的概念，这大大加快了程序的运行时间。-SURF (Speeded Up Robust Feature) is a robust local feature detector,
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Image deblurring submits the procedures that crack to lessen the amount of blur in the blurry image and provides the corrupted image an overall enhanced effect in order to achieve a
better image. This paper mainly deals with the removal of blur in
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