guided-filter-code-v1

所属分类:matlab编程
开发工具:matlab
文件大小:2127KB
下载次数:336
上传日期:2012-12-28 10:28:14
上 传 者fengzhenxingl2
说明:  图像引导滤波,实现平滑滤波,图像细节增强、去雾霾!!!
(guided image filtering img_enhancement img_smoothing img_flash img_feathering)

文件列表:
guided-filter-code-v1\boxfilter.m (931, 2010-07-08)
guided-filter-code-v1\example_enhancement.m (452, 2010-07-08)
guided-filter-code-v1\example_feathering.m (341, 2012-11-21)
guided-filter-code-v1\example_flash.m (607, 2010-07-08)
guided-filter-code-v1\example_smoothing.m (286, 2012-12-12)
guided-filter-code-v1\guidedfilter.m (957, 2010-07-08)
guided-filter-code-v1\guidedfilter_color.m (2462, 2011-05-03)
guided-filter-code-v1\img_enhancement\tulips.bmp (2880056, 2010-03-05)
guided-filter-code-v1\img_feathering\toy-mask.bmp (947480, 2010-07-08)
guided-filter-code-v1\img_feathering\toy.bmp (947480, 2010-07-08)
guided-filter-code-v1\img_flash\cave-flash.bmp (786488, 2010-02-24)
guided-filter-code-v1\img_flash\cave-noflash.bmp (786488, 2010-02-24)
guided-filter-code-v1\img_smoothing\cat.bmp (77256, 2010-02-27)
guided-filter-code-v1\img_enhancement (0, 2012-11-11)
guided-filter-code-v1\img_feathering (0, 2012-11-11)
guided-filter-code-v1\img_flash (0, 2012-11-11)
guided-filter-code-v1\img_smoothing (0, 2012-11-11)
guided-filter-code-v1 (0, 2012-11-28)

*************************************************************************************** *************************************************************************************** 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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