搜索资源列表
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编程实现基于8×8子块的DCT图像变换，基于JPEG量化矩阵的量化与反量化，基于8×8子块DCT的图像重建；以一幅512×512、8比特/象素的图像为实验对象，计算重建后的PSNR。-Programming based on 8 × 8 sub-block of the DCT image transform, quantization matrix based on the JPEG quantization and anti-quantitative, based on the 8 × 8
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当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。- This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood E
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sinogram reconstruction
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在本实验中，小波函数采用Daubechies小波，取10阶消失矩的Daubechies滤波器。对图像数据进行一级小波变换并利用变换得到的数据进行图像重建。-In this experiment, the wavelet function using Daubechies wavelet, taking 10 first-order vanishing moments of the Daubechies filter. The image data, a wavelet transform to
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讲解了 MATLAB语言环境下
图像压缩和图像融合方面的基本方法和基于小波变换的图像分解与重构。-Explained the MATLAB language environment, image compression and image integration of the basic methods and wavelet-based image decomposition and reconstruction.
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基于两步迭代收缩法和复数小波的压缩传感
图像重构
- Based on two-step iterative shrinkage method and the complex wavelet compression sensor
Image reconstruction
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在研究从投影重建图像的算法时，为了比较客观的评价各种重建算法的有效性，人们常选用公认的Sheep Logan 头模型,本文就是用CT重建的理论模型，希望对大家有用-In the study from the projection image reconstruction algorithm, in order to more objective evaluation of the effectiveness of the various reconstruction algorithms, it
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此代码用于完成MRI图像的压缩采样重建。它是论文"Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007中的源码-This is an implementation of Compressed Sensing reconstruction for MRI data.
It implements the non-linear conjugate sub-gradient algorithm as
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机器视觉中三维重建的源码
具体包括4个文件，其中.c文件用于产生图像特征点矩阵-In the three-dimensional reconstruction process, resulting in the source image feature dot matrix
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在Matlab图像处理工具箱中的Phantom函数，可以产生Shepp－Logan的大脑图,利用RADON变换重建图像-In the Matlab Image Processing Toolbox functions in the Phantom can generate Shepp-Logan brain map, the use of RADON transform image reconstruction
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运用压缩感知的原理对图片进行处理 并通过正交匹配追踪法进行图像的重构-compressed sensing for colour image and the reconstruction by OMP
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Demonstrates image reconstruction from Fourier components
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A new approach for fingerprint verification, based on wavelets and pseudo Zernike moments (PZMs), is
discussed. PZMs are robust to noisy images, invariant to rotation and have a good image reconstruction
capability [4]. PZMs have been used for
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运动估计块匹配算法
以下是工程中m文件的简单注释：
main.m 可通过主函数调用各种基本的块匹配算法
FullSearch.m 全搜索法（又称为Exhaustive Search）
ThreeStepSearch.m 三步搜索法（Three Step Search）
NewTSS.m 新三步搜索法（New Three Step Search Algorithm）
SESTSS.m 简便高效的三步搜索法（Simple And Efficient TSS）
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论文：基于二维图像的三维重建的研究。本文是基于二张二维图像，然后进行三维重建，是用matlab程序实现的。文中详细介绍了每一步的现实方法和原理。-Thesis: Based on two-dimensional image reconstruction of three-dimensional. This article is based on two Zhang Erwei image, and then three-dimensional reconstruction is achieved
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很好的小波应用实例文档，介总结内容有小波用于去噪、图像压缩、边界扭曲、图像融合、小波包的分解和重构等等，附详细的MAMTLAB代码-Application of wavelet good document, refer to summarize the contents of wavelet denoising, image compression, border distortions, image fusion, wavelet packet decomposition and recons
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根据Medioni的张量投票理论，用matlab实现二维图像的重构。-According Medioni s tensor voting theory, with the realization of two-dimensional image reconstruction of matlab.
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提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图
像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别
程度。-A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognitio
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使用MP将图像稀疏分解并且精确重构，其中使用2D的GA原子-MP will use the image sparse decomposition and perfect reconstruction, in which the GA using 2D atomic
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矩不变量，适用于图像匹配，数字水印，图像重建-Moment invariants, applicable to the image matching, digital watermarking, image reconstruction
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