matlab图像融合源码-Haze-Removal:图像去雾论文和实验总结
matlab图像融合源码
Haze-Removal-Project
主要参考文献
Visibility
in
bad
weather
from
a
single
image
Guided
image
filtering
Fast
Haze
Removal
Algorithm
for
Surveillance
Video
这是一篇讲如何对视频进行快速去雾的文章，没涉及到具体的算法，不过可以看看。
Fast
image
dehazing
using
guided
joint
bilateral
filter
Efficient
Image
Dehazing
with
Boundary
Constraint
and
Contextual
Regularization
何恺明之前单幅图像去雾的经典方法是：
（1）最大化局部对比度：R.
Tan,
Visibility
in
Bad
Weather
from
a
Single
Image,
CVPR’08
（2）独立成分分析：R.
Fattal,
Single
Image
Dehazing,
SIGGRAPH’08
新的成果：
下面试几篇比较新的
文件下载
资源详情
[{"title":"（ 473 个子文件 223.52MB ） matlab图像融合源码-Haze-Removal:图像去雾论文和实验总结","children":[{"title":"tulips.bmp <span style='color:#111;'> 2.75MB </span>","children":null,"spread":false},{"title":"tulips.bmp <span style='color:#111;'> 2.75MB </span>","children":null,"spread":false},{"title":"ny1.bmp <span style='color:#111;'> 1010.21KB </span>","children":null,"spread":false},{"title":"ny1.bmp <span style='color:#111;'> 1010.21KB </span>","children":null,"spread":false},{"title":"ny1.bmp <span style='color:#111;'> 1010.21KB </span>","children":null,"spread":false},{"title":"toy-mask.bmp <span style='color:#111;'> 925.27KB </span>","children":null,"spread":false},{"title":"toy.bmp <span style='color:#111;'> 925.27KB </span>","children":null,"spread":false},{"title":"toy.bmp <span style='color:#111;'> 925.27KB </span>","children":null,"spread":false},{"title":"toy-mask.bmp <span style='color:#111;'> 925.27KB </span>","children":null,"spread":false},{"title":"toy.bmp <span style='color:#111;'> 925.27KB </span>","children":null,"spread":false},{"title":"toy-mask.bmp <span style='color:#111;'> 925.27KB </span>","children":null,"spread":false},{"title":"cave-noflash.bmp <span style='color:#111;'> 768.05KB </span>","children":null,"spread":false},{"title":"cave-flash.bmp <span style='color:#111;'> 768.05KB </span>","children":null,"spread":false},{"title":"cave-flash.bmp <span style='color:#111;'> 768.05KB </span>","children":null,"spread":false},{"title":"cave-noflash.bmp <span style='color:#111;'> 768.05KB </span>","children":null,"spread":false},{"title":"cave-noflash.bmp <span style='color:#111;'> 768.05KB </span>","children":null,"spread":false},{"title":"cave-flash.bmp <span style='color:#111;'> 768.05KB </span>","children":null,"spread":false},{"title":"cat.bmp <span style='color:#111;'> 75.45KB </span>","children":null,"spread":false},{"title":"cat.bmp <span style='color:#111;'> 75.45KB </span>","children":null,"spread":false},{"title":"cat.bmp <span style='color:#111;'> 75.45KB </span>","children":null,"spread":false},{"title":"vl_imreadjpeg.c <span style='color:#111;'> 13.77KB </span>","children":null,"spread":false},{"title":"vl_imreadjpeg.c <span style='color:#111;'> 13.77KB </span>","children":null,"spread":false},{"title":"结合最小颜色通道图与传播滤波的单幅图像去雾算法研究.caj <span style='color:#111;'> 2.46MB </span>","children":null,"spread":false},{"title":"normalize.cpp <span style='color:#111;'> 12.69KB </span>","children":null,"spread":false},{"title":"normalize.cpp <span style='color:#111;'> 12.69KB </span>","children":null,"spread":false},{"title":"pooling.cpp <span style='color:#111;'> 8.76KB </span>","children":null,"spread":false},{"title":"pooling.cpp <span style='color:#111;'> 8.76KB </span>","children":null,"spread":false},{"title":"im2col.cpp <span style='color:#111;'> 8.46KB </span>","children":null,"spread":false},{"title":"im2col.cpp <span style='color:#111;'> 8.46KB </span>","children":null,"spread":false},{"title":"subsample.cpp <span style='color:#111;'> 5.11KB </span>","children":null,"spread":false},{"title":"subsample.cpp <span style='color:#111;'> 5.11KB </span>","children":null,"spread":false},{"title":"vl_nnconv.cu <span style='color:#111;'> 31.10KB </span>","children":null,"spread":false},{"title":"vl_nnconv.cu <span style='color:#111;'> 31.10KB </span>","children":null,"spread":false},{"title":"pooling_gpu.cu <span style='color:#111;'> 14.04KB </span>","children":null,"spread":false},{"title":"pooling_gpu.cu <span style='color:#111;'> 14.04KB </span>","children":null,"spread":false},{"title":"im2col_gpu.cu <span style='color:#111;'> 11.47KB </span>","children":null,"spread":false},{"title":"im2col_gpu.cu <span style='color:#111;'> 11.47KB </span>","children":null,"spread":false},{"title":"vl_nnpool.cu <span style='color:#111;'> 11.08KB </span>","children":null,"spread":false},{"title":"vl_nnpool.cu <span style='color:#111;'> 11.08KB </span>","children":null,"spread":false},{"title":"vl_nnnormalize.cu <span style='color:#111;'> 6.55KB </span>","children":null,"spread":false},{"title":"vl_nnnormalize.cu <span style='color:#111;'> 6.55KB </span>","children":null,"spread":false},{"title":"normalize_gpu.cu <span style='color:#111;'> 6.45KB </span>","children":null,"spread":false},{"title":"normalize_gpu.cu <span style='color:#111;'> 6.45KB </span>","children":null,"spread":false},{"title":"subsample_gpu.cu <span style='color:#111;'> 6.08KB </span>","children":null,"spread":false},{"title":"subsample_gpu.cu <span style='color:#111;'> 6.08KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 61B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 61B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 5B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 5B </span>","children":null,"spread":false},{"title":"mexutils.h <span style='color:#111;'> 20.43KB </span>","children":null,"spread":false},{"title":"mexutils.h <span style='color:#111;'> 20.43KB </span>","children":null,"spread":false},{"title":"nnhelper.h <span style='color:#111;'> 7.76KB </span>","children":null,"spread":false},{"title":"nnhelper.h <span style='color:#111;'> 7.76KB </span>","children":null,"spread":false},{"title":"pooling.hpp <span style='color:#111;'> 2.70KB </span>","children":null,"spread":false},{"title":"pooling.hpp <span style='color:#111;'> 2.70KB </span>","children":null,"spread":false},{"title":"subsample.hpp <span style='color:#111;'> 2.16KB </span>","children":null,"spread":false},{"title":"subsample.hpp <span style='color:#111;'> 2.16KB </span>","children":null,"spread":false},{"title":"im2col.hpp <span style='color:#111;'> 2.14KB </span>","children":null,"spread":false},{"title":"im2col.hpp <span style='color:#111;'> 2.14KB </span>","children":null,"spread":false},{"title":"normalize.hpp <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"normalize.hpp <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"gpu.hpp <span style='color:#111;'> 511B </span>","children":null,"spread":false},{"title":"gpu.hpp <span style='color:#111;'> 511B </span>","children":null,"spread":false},{"title":"p5.jpg <span style='color:#111;'> 248.42KB </span>","children":null,"spread":false},{"title":"p5.jpg <span style='color:#111;'> 248.42KB </span>","children":null,"spread":false},{"title":"p5.jpg <span style='color:#111;'> 248.42KB </span>","children":null,"spread":false},{"title":"p5.jpg <span style='color:#111;'> 248.42KB </span>","children":null,"spread":false},{"title":"p5.jpg <span style='color:#111;'> 248.42KB </span>","children":null,"spread":false},{"title":"p3.jpg <span style='color:#111;'> 233.35KB </span>","children":null,"spread":false},{"title":"p3.jpg <span style='color:#111;'> 233.35KB </span>","children":null,"spread":false},{"title":"p3.jpg <span style='color:#111;'> 233.35KB </span>","children":null,"spread":false},{"title":"1347196302101.jpg <span style='color:#111;'> 180.30KB </span>","children":null,"spread":false},{"title":"1347196302101.jpg <span style='color:#111;'> 180.30KB </span>","children":null,"spread":false},{"title":"1362122277267.jpg <span style='color:#111;'> 172.02KB </span>","children":null,"spread":false},{"title":"1362122277267.jpg <span style='color:#111;'> 172.02KB </span>","children":null,"spread":false},{"title":"2.jpg <span style='color:#111;'> 35.36KB </span>","children":null,"spread":false},{"title":"p2.jpg <span style='color:#111;'> 30.78KB </span>","children":null,"spread":false},{"title":"p2.jpg <span style='color:#111;'> 30.78KB </span>","children":null,"spread":false},{"title":"p2.jpg <span style='color:#111;'> 30.78KB </span>","children":null,"spread":false},{"title":"p1.jpg <span style='color:#111;'> 18.52KB </span>","children":null,"spread":false},{"title":"p1.jpg <span style='color:#111;'> 18.52KB </span>","children":null,"spread":false},{"title":"p1.jpg <span style='color:#111;'> 18.52KB </span>","children":null,"spread":false},{"title":"p6.jpg <span style='color:#111;'> 10.99KB </span>","children":null,"spread":false},{"title":"1.jpg <span style='color:#111;'> 9.70KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"Draft_depth_preprocessing_Cityscapes.m <span style='color:#111;'> 17.17KB </span>","children":null,"spread":false},{"title":"Draft_depth_preprocessing_Cityscapes.m <span style='color:#111;'> 17.17KB </span>","children":null,"spread":false},{"title":"vl_test_nnlayers.m <span style='color:#111;'> 13.34KB </span>","children":null,"spread":false},{"title":"vl_test_nnlayers.m <span style='color:#111;'> 13.34KB </span>","children":null,"spread":false},{"title":"depth_in_meters_cityscapes_stereoscopic_inpainting.m <span style='color:#111;'> 11.50KB </span>","children":null,"spread":false},{"title":"depth_in_meters_cityscapes_stereoscopic_inpainting.m <span style='color:#111;'> 11.50KB </span>","children":null,"spread":false},{"title":"vl_simplenn.m <span style='color:#111;'> 7.67KB </span>","children":null,"spread":false},{"title":"vl_simplenn.m <span style='color:#111;'> 7.67KB </span>","children":null,"spread":false},{"title":"Haze_cityscapes_train_val_but_first_city.m <span style='color:#111;'> 7.03KB </span>","children":null,"spread":false},{"title":"Haze_cityscapes_train_val_but_first_city.m <span style='color:#111;'> 7.03KB </span>","children":null,"spread":false},{"title":"estimate_airlight.m <span style='color:#111;'> 6.80KB </span>","children":null,"spread":false},{"title":"estimate_airlight.m <span style='color:#111;'> 6.80KB </span>","children":null,"spread":false},{"title":"mscnndehazing.m <span style='color:#111;'> 6.15KB </span>","children":null,"spread":false},{"title":"mscnndehazing.m <span style='color:#111;'> 6.15KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多，未全部展示</span>","children":null,"spread":false}],"spread":true}]
评论信息
其他资源
- 动物数据集：狗 猫 熊猫
- SGM立体匹配
- STM32MatTarget_5.1.0
- FSIM—特征相似度MATLAB代码
- 基于GTK的Linux环境下的简易任务管理器（附带源码）
- Qt Designer汉化包
- Matlab十五种经典算法
- 基于AD620的心电放大电路
- Qt后台监听键盘按键事件
- 编写高性能的托管应用程序：入门
- Antenna's Array Synthesis.zip
- servlet和jsp课件
- 3DS格式（中文版）
- fatfs__stm32例程
- C语言写的数据结构程序,很多
- 3年工作经验java面试宝典
- 连锁餐饮网上订餐系统可行性分析报告
- 安卓大作业记事本
- 2006-2018年美赛建模O奖合集
- 历年计算机考研408统考真题及答案（2009-2016）精选收藏
- 数字高程模型（DEM）内插程序c，c++混合版
- WebGL Insights
免责申明
【只为小站】的资源来自网友分享，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论 【只为小站】 经营者是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明