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LIME-master

于 2020-06-21 发布 文件大小:9581KB
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下载积分: 1 下载次数: 1

代码说明:

  使用了色调映射算法,调整图片的灰度,更好表达原图里的信息与特征。(The hue mapping algorithm is used to adjust the gray level of the image and better express the information and features in the original image.)

文件列表:

LIME-master, 0 , 2018-07-05
LIME-master\.gitattributes, 66 , 2018-07-05
LIME-master\BM3D, 0 , 2018-07-05
LIME-master\BM3D\BM3D.m, 22746 , 2018-07-05
LIME-master\BM3D\bm3d_thr.mexa64, 55065 , 2018-07-05
LIME-master\BM3D\bm3d_thr.mexglx, 41369 , 2018-07-05
LIME-master\BM3D\bm3d_thr.mexmaci, 58764 , 2018-07-05
LIME-master\BM3D\bm3d_thr.mexmaci64, 54552 , 2018-07-05
LIME-master\BM3D\bm3d_thr.mexw32, 72704 , 2018-07-05
LIME-master\BM3D\bm3d_thr.mexw64, 90624 , 2018-07-05
LIME-master\BM3D\bm3d_wiener.mexa64, 39151 , 2018-07-05
LIME-master\BM3D\bm3d_wiener.mexglx, 28911 , 2018-07-05
LIME-master\BM3D\bm3d_wiener.mexmaci, 42244 , 2018-07-05
LIME-master\BM3D\bm3d_wiener.mexmaci64, 38024 , 2018-07-05
LIME-master\BM3D\bm3d_wiener.mexw32, 57344 , 2018-07-05
LIME-master\BM3D\bm3d_wiener.mexw64, 68096 , 2018-07-05
LIME-master\LIME.m, 2550 , 2018-07-05
LIME-master\README.md, 180 , 2018-07-05
LIME-master\data, 0 , 2018-07-05
LIME-master\data\1.bmp, 1468854 , 2018-07-05
LIME-master\data\10.bmp, 2461734 , 2018-07-05
LIME-master\data\2.bmp, 705654 , 2018-07-05
LIME-master\data\3.bmp, 562554 , 2018-07-05
LIME-master\data\4.bmp, 461534 , 2018-07-05
LIME-master\data\5.bmp, 9000054 , 2018-07-05
LIME-master\data\6.bmp, 319534 , 2018-07-05
LIME-master\data\7.bmp, 608454 , 2018-07-05
LIME-master\data\8.bmp, 537334 , 2018-07-05
LIME-master\data\9.bmp, 676054 , 2018-07-05
LIME-master\demo.m, 730 , 2018-07-05

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    这是图像运动补偿中的进行运动补偿估计的常用程序算法matlab实现(This is the image motion compensation in the exercise of compensation is estimated to achieve common procedures algorithm matlab)
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    基于压缩感知的图像重构算法啊,很适合用初学者的,本人就很受益(ist algorithm)
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    利用支持向量机对图像进行分割。特征属性为RGB图像3个通道的亮度。(Using support vector machines for image segmentation. Characteristic properties of three channels of RGB image brightness.)
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    卡尔曼滤波源代码 Some brief notes ---------------- kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis. Steve Roberts 7-2-98 (Kalman filter source code Some brief notes kfdemo.m is a Matlab script file to run a demonstration of theBayesian Kalman filter. It loads file kfdemo.mat (saved as version 4so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or includedas they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any furtheranalysis.Steve Roberts 7-2-98)
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