dense-麻将胡了pg电子网站

订阅方案:
普通用户:
¥30.00
vip用户:
¥0.00
联系客服 查看订阅方案
所属分类: 综合数据 标签: (无)
来源: moonapi
更新时间: 2023-12-05 最新数据时间: 自动更新
数据集简介:

数据集介绍: 单图像去叠是一个不适定问题,最近引起了重要关注。尽管在过去几年中,人们对去雾的兴趣显著增加,但由于缺乏真实的雾度和相应的无雾度参考图像对,去雾方法的验证在很大程度上仍然不令人满意。为了解决这一局限性,我们引入了一种新的去雾数据集稠密雾。《浓雾》以浓密均匀的朦胧场景为特征,包含33对真实的朦胧图像和各种室外场景的相应无霾图像。通过引入由专业雾霾机器生成的真实雾霾来记录雾霾场景。朦胧和无

  • 质量保证
  • 免费样本数据
  • 免费数据更新
  • 提供发票
数据集概览(文件数量,文件种类,数据集行列数),数据集示例数据请查看下方数据集介绍或联系客服索取
  • 数据集介绍
  • 订阅方案
  • 问题反馈

dense-haze简介

数据集介绍:


单图像去叠是一个不适定问题,最近引起了重要关注。尽管在过去几年中,人们对去雾的兴趣显著增加,但由于缺乏真实的雾度和相应的无雾度参考图像对,去雾方法的验证在很大程度上仍然不令人满意。为了解决这一局限性,我们引入了一种新的去雾数据集稠密雾。《浓雾》以浓密均匀的朦胧场景为特征,包含33对真实的朦胧图像和各种室外场景的相应无霾图像。通过引入由专业雾霾机器生成的真实雾霾来记录雾霾场景。朦胧和无朦胧的对应场景包含在相同照明参数下捕获的相同视觉内容。


 


引用:


@inproceedings{nh-haze_2020,

author = {codruta o. ancuti and cosmin ancuti and radu timofte},

title = {{nh-haze:} an image dehazing benchmark with non-homogeneous hazy and haze-free images},

booktitle =  {proceedings of the ieee conference on computer vision and pattern recognition workshops},

series = {ieee cvpr 2020},

year = {2020},

location = {washington, us},

}

 

@inproceedings{ntire_dehazing_2020,

author = {codruta o ancuti and cosmin ancuti and florin-alexandru vasluianu and radu timofte and others},

title = {{ntire} 2020 challenge on nonhomogeneous dehazing},

booktitle =  {proceedings of the ieee conference on computer vision and pattern recognition workshops},

series = {ieee cvpr 2020},

year = {2020},

location = {washington, us},

}
the most popular research, guides, news and more in artificial intelligence
the most popular research, guides, news and more in artificial intelligence
the most popular research, guides, news and more in artificial intelligence
the most popular research, guides, news and more in artificial intelligence
ieee xplore, delivering full text access to the world's highest quality technical literature in engineering and technology. | ieee xplore
access 135 million publications and connect with 20 million researchers. join for free and gain visibility by uploading your research.
a powerful, streamlined new astrophysics data system
semantic scholar uses groundbreaking ai and engineering to understand the semantics of scientific literature to help scholars discover relevant research.
ieee xplore, delivering full text access to the world's highest quality technical literature in engineering and technology. | ieee xplore
sorry, we couldn't find anything at that url
collection of hazy/non-hazy image pairs
many dehazing methods have proven to be effective in removing haze out of the hazy image, but few of them are adaptive in handling the dense haze. in this paper, based on the angle of polarization (aop) distribution analysis we propose a kind of polarimetric dehazing method, which is verified to be …
haze in remote sensing images (rsis) usually causes serious radiance distortion and image quality degeneration, resulting in difficult remote sensing inversion
pictures caught in murky climate show up low conversely. debasement in the picture contrast is because of lessening in the light energy reflected from the scene object. in this paper, we propose a picture de-right of passage network which upgrades the perceivability...

密雾以 密集、均匀的朦胧场景为特征,包含 33对真实的朦胧和相应的无雾霾图像。为了产生模糊的场景,使用了一个专业的雾霾机,模拟与高保真的真实雾霾。为了保持光照条件,所有的室外场景都是静态的,并在阴天、早晨或日落时被记录下来。基本上,密集-雾霾 扩展了o-haze [31]数据集,该数据集最近被用于第一个有组织的[32]的单一图像脱雾挑战。与只包含 轻雾场景的o-haze相比,密集雾层更具挑战性,因为所有记录的场景都包含更密集、更均匀的雾层层(见图1)。引入密集的雾霾数据集将显著推动最先进的单图像脱雾方法,使其对真实和各种密集的雾霾场景更加鲁棒。

推荐数据集
网站地图