引导滤波

所属分类:图形图象
开发工具:matlab
文件大小:6982KB
下载次数:27
上传日期:2018-03-25 18:59:58
上 传 者haha-liu
说明:  何开明引导滤波去雾算法matlab实现引,导滤波在滤波的同时,具有保边缘的特效,考虑了空间因素,可以用在图像去雾算法中对透射率t的优化中,能起到很好的效果
(Matlab implementation of He Kaiming guided filtering algorithm)

文件列表:
引导滤波 (0, 2014-08-02)
引导滤波\boxfilter.m (1644, 2013-10-01)
引导滤波\eccv10guidedfilter.pdf (3603501, 2013-07-04)
引导滤波\example_enhancement.m (1629, 2013-11-03)
引导滤波\example_feathering.m (596, 2014-06-30)
引导滤波\example_flash.m (992, 2014-06-30)
引导滤波\example_smoothing.m (340, 2014-06-30)
引导滤波\guidedfilter.m (1146, 2013-08-20)
引导滤波\guidedfilter_color.m (2462, 2011-05-03)
引导滤波\img_enhancement (0, 2014-08-02)
引导滤波\img_enhancement\tulips.bmp (2880056, 2010-03-05)
引导滤波\img_feathering (0, 2014-08-02)
引导滤波\img_feathering\toy-mask.bmp (947480, 2010-07-08)
引导滤波\img_feathering\toy.bmp (947480, 2010-07-08)
引导滤波\img_flash (0, 2014-08-02)
引导滤波\img_flash\cave-flash.bmp (786488, 2010-02-24)
引导滤波\img_flash\cave-noflash.bmp (786488, 2010-02-24)
引导滤波\img_flash\输出cave-noflash.bmp (786486, 2014-06-30)
引导滤波\img_smoothing (0, 2014-08-02)
引导滤波\img_smoothing\cat.bmp (77256, 2010-02-27)

*************************************************************************************** *************************************************************************************** Matlab demo code for "Guided Image Filtering" (ECCV 2010) by Kaiming He (kahe@microsoft.com) If you use/adapt our code in your work (either as a stand-alone tool or as a component of any algorithm), you need to appropriately cite our ECCV 2010 paper. This code is for academic purpose only. Not for commercial/industrial activities. The running time reported in the paper is from C++ implementation. This matlab code is a reference for those who would like to reimplement our method. *************************************************************************************** *************************************************************************************** Usage: guidedfilter.m - guided filter implementation (Eqn(5), (6), (8) in the paper) guidedfilter_color.m - guided filter for color guidance (Eqn(14), (15), (16) in the paper) Run the four examples to see the results shown in the paper.

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