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SRCNN

于 2021-04-18 发布文件大小:5453KB

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下载积分: 1 下载次数: 113

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代码说明：

基于深度学习的图像超分辨率算法。参考论文 Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014) (Super resolution based on deep learning Refer to Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014))

文件列表：

SRCNN
.....\compute_psnr.m,314,2015-08-24
.....\demo_SR.asv,1885,2015-11-05
.....\demo_SR.m,1892,2015-11-05
.....\modcrop.m,279,2015-08-24
.....\model
.....\.....\x2.mat,38625,2015-08-24
.....\.....\x3.mat,38483,2015-08-24
.....\.....\x4.mat,38489,2015-08-24
.....\Readme.txt,1494,2015-08-24
.....\Set14

.....\.....\face.bmp,228584,2015-08-24
.....\.....\flowers.bmp,543054,2015-08-24
.....\.....\foreman.bmp,304182,2015-08-24
.....\.....\lenna.bmp,786486,2015-08-24
.....\.....\man.bmp,786486,2015-08-24
.....\.....\monarch.bmp,1179702,2015-08-24
.....\.....\pepper.bmp,786486,2015-08-24
.....\.....\ppt3.bmp,1041782,2015-08-24
.....\.....\zebra.bmp,688214,2015-08-24
.....\Set5

.....\shave.m,110,2015-08-24
.....\SRCNN.m,1267,2015-08-24

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bands_average
利用ENVI/IDL，计算多幅图像的各个像元的平均值。并忽略空缺值(Use ENVI/IDL, calculate the average of each pixel of multiple images. And ignores the value of vacancies)

2021-02-21 13:49:42下载

积分：1
projective
2维图像的透视变换，空间变换，可对拍摄的图像进行几何校正(Perspective transformation, the two-dimensional image space transformation, the geometric correction of images taken)

2012-03-15 16:23:53下载

积分：1
zhifen
说明：阈值分割。基于二维直方图及混沌粒子群的图像分割方法(Thresholding. Based on two-dimensional histogram and chaotic particle swarm methods for image segmentation)

2010-04-06 10:35:01下载

积分：1
siftDemoV4
图像匹配的实现，其中match.m：测试程序，sift.m :尺度不变特征变换（SIFT算法）的核心算法程序，appendimages.m: 该函数创建一个新的图像分别包含两个匹配的图像和他们之间的匹配对的连接直线，可以运行。 (The realization of image matching, which match.m: test program, sift.m: scale-invariant feature transform (SIFT algorithm) of the core algorithm, appendimages.m: This function creates a new image each consists of two images and matching match between them on the connection line, you can run.)

2011-10-14 08:44:40下载

积分：1
FillRegion
填充区域图像，设置填充区域，填出图像的颜色(Filled regional images, set fill area, fill in the color of the image)

2009-01-18 22:45:33下载

积分：1
Digital-image-processing
（2001何斌+光盘）Visual c++数字图像处理（第二版），使用VC进行数字图像处理的相关资料，十分实用！((2001 Bin+ disc the) Visual c++ digital image processing (second edition), digital image processing using VC, very practical!)

2012-11-20 20:24:04下载

积分：1
burns
该程序是发表在IEEE上的经典直线提取论文“Extracting Straight Lines”的源代码实现，对计算机视觉、模式识别和信息提取等领域的科学研究人员具有极其重要的参看意义。建议下载学习和适用。(The program is published in the IEEE paper on the classic straight-line extraction " Extracting Straight Lines" the source code implementation of computer vision, pattern recognition and information extraction and other areas of scientific researchers see an extremely important significance. Recommended to download to learn and to apply.)

2021-03-26 16:39:13下载

积分：1
fun pcnn
基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。(Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the final feature matrix we got is combined time signature and roundness. We take correlations as our judge criteria in our experiments. It has been proved that the algorithm is not sensitivity with the rotation, scaling and translation of the object and is a useful method for target recognition applications.)

2010-05-20 23:23:38下载

积分：1
adaboost-face-detection
基于adaboost的人脸检测算法，对于初学者来说用很大的帮助(Adaboost-based face detection algorithm for beginners great help)

2013-05-14 10:22:13下载

积分：1
python计算机视觉.pdf
本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on the Python language.A large number of examples carefully analyze object recognition, content based image search, optical character recognition, optical flow, tracking, 3D reconstruction,Stereoscopic imaging, augmented reality, attitude estimation, panoramic creation, image segmentation, noise reduction, image grouping and other techniques.)

2020-10-13 20:07:31下载

积分：1

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