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Compressive-Image-Super-resolution

于 2012-08-31 发布文件大小:1521KB

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压缩感知和超分辨率论文，关于如何将低分辨率的图像如何重建成高分辨率图像，很有用(compressed sensing and super resolution)

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Compressive Image Super-resolution.pdf,1598382,2012-08-21

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trifilter
三边滤波器是在二边滤波器上做的改进，对图像处理有广泛的应用。(Trilateral filter is a filter on the two sides to make improvements on a wide range of image processing applications.)

2020-12-01 21:39:26下载

积分：1
CNN 可用
说明：卷积神经网络（Convolutional Neural Network）是一个专门针对图像识别问题设计的神经网络。它模仿人类识别图像的多层过程：瞳孔摄入像素；大脑皮层某些细胞初步处理，发现形状边缘、方向；抽象判定形状（如圆形、方形）；进一步抽象判定（如判断物体是气球）。(Convolutional neural network is a neural network specially designed for image recognition. It imitates the multi-layer process of human recognition image: pupil ingestion of pixels; some cells in the cerebral cortex preliminary processing to find shape edges and directions; Abstract judgment of shape (such as circles and squares); and further Abstract judgment (such as judging objects are balloons).)

2020-06-17 07:40:01下载

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TV
说明：全变分图像去噪 tv_L2 模型具有非常好边界保持能力的去噪算法(total variational for denosing)

2020-03-24 20:45:07下载

积分：1
registration
这是一个matlab的代码。利用自带函数，代码实现了医学图像的配准(This is a matlab source. Code implements images registration)

2017-04-27 10:14:08下载

积分：1
STFT
短时傅里叶变换,主要用于故障诊断和信号处理，很好用(Short-time Fourier transform)

2011-12-29 11:21:00下载

积分：1
RANSAC-for-Outlier-Rejection
基于RANSAC算法的图像匹配过程，包括提出该算法的文章以及文章中所提到的所有程序代码，可以实现具有高度异常点的图像匹配过程。(RANSAC algorithm based on image matching process, including all the program code of the algorithm proposed article and the article mentioned, the image matching process can be achieved with a high degree of abnormal points.)

2021-03-23 21:19:15下载

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trace
8邻域边缘连接，实现闭合边界跟踪，简单实用(8 neighborhood edge connector, to achieve closure boundary tracking, simple and practical)

2010-12-13 21:08:56下载

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FAST-ICA
1、对观测数据进行中心化，； 2、使它的均值为0，对数据进行白化—>Z； 3、选择需要估计的分量的个数m，设置迭代次数p<-1 4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）； 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的） 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,p)/norm(W(:,p)) 8、若W不收敛，返回第5步 9、令p=p+1，若p小于等于m,返回第4步剩下的应该都能看懂了基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)

2013-06-27 15:39:00下载

积分：1
积木效果显示图像
积木效果显示图像

2013-06-05下载

积分：1
tuxiangchuli2
说明：一些简单的对图像的处理和直方图均衡化的复刻，可帮助初学者增加认知(Some simple image processing and histogram equalization can help beginners increase cognition)

2021-03-19 18:08:39下载

积分：1

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Compressive-Image-Super-resolution

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