多曝光 图像融合.zip

上传者: jeffsonfu | 上传时间: 2021-04-13 19:57:40 | 文件大小: 8.00MB | 文件类型: ZIP
这是多曝光图像融合源码,编程语言为matlab。下载解压后直接运行。

文件下载

资源详情

[{"title":"( 40 个子文件 8.00MB ) 多曝光 图像融合.zip","children":[{"title":"multi-exposure-image-fusion-master","children":[{"title":"results","children":[{"title":"Tower","children":[{"title":"Tower_Ma15.png <span style='color:#111;'> 308.65KB </span>","children":null,"spread":false},{"title":"Tower_Raman09.png <span style='color:#111;'> 258.39KB </span>","children":null,"spread":false},{"title":"Tower_Li13.png <span style='color:#111;'> 311.11KB </span>","children":null,"spread":false},{"title":"Tower_Li12.png <span style='color:#111;'> 345.76KB </span>","children":null,"spread":false},{"title":"Tower_Shutao Li12.png <span style='color:#111;'> 302.42KB </span>","children":null,"spread":false},{"title":"Tower_Mertens07.png <span style='color:#111;'> 307.33KB </span>","children":null,"spread":false},{"title":"Tower_Gu12.png <span style='color:#111;'> 320.47KB </span>","children":null,"spread":false},{"title":"Tower_proposed.png <span style='color:#111;'> 304.66KB </span>","children":null,"spread":false}],"spread":true},{"title":"Venice","children":[{"title":"Venice_Gu12.png <span style='color:#111;'> 327.27KB </span>","children":null,"spread":false},{"title":"Venice_Mertens07.png <span style='color:#111;'> 297.40KB </span>","children":null,"spread":false},{"title":"Venice_Li12.png <span style='color:#111;'> 330.86KB </span>","children":null,"spread":false},{"title":"Venice_Shutao Li12.png <span style='color:#111;'> 276.29KB </span>","children":null,"spread":false},{"title":"Venice_Li13.png <span style='color:#111;'> 300.15KB </span>","children":null,"spread":false},{"title":"Venice_Raman09.png <span style='color:#111;'> 244.16KB </span>","children":null,"spread":false},{"title":"Venice_Ma15.png <span style='color:#111;'> 298.34KB </span>","children":null,"spread":false},{"title":"Venice_proposed.png <span style='color:#111;'> 285.03KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"result2_Tower.png <span style='color:#111;'> 1.17MB </span>","children":null,"spread":false},{"title":"code","children":[{"title":"image_sequence","children":[{"title":"D.png <span style='color:#111;'> 148.30KB </span>","children":null,"spread":false},{"title":"B.png <span style='color:#111;'> 219.94KB </span>","children":null,"spread":false},{"title":"A.png <span style='color:#111;'> 124.80KB </span>","children":null,"spread":false},{"title":"C.png <span style='color:#111;'> 235.68KB </span>","children":null,"spread":false}],"spread":true},{"title":"result.png <span style='color:#111;'> 268.32KB </span>","children":null,"spread":false},{"title":"test_eval.m <span style='color:#111;'> 3.21KB </span>","children":null,"spread":false},{"title":"functions","children":[{"title":"get_weight2.m <span style='color:#111;'> 596B </span>","children":null,"spread":false},{"title":"rgb2lum.m <span style='color:#111;'> 289B </span>","children":null,"spread":false},{"title":"get_weight1.m <span style='color:#111;'> 620B </span>","children":null,"spread":false},{"title":"fusion_pyramid.m <span style='color:#111;'> 958B </span>","children":null,"spread":false},{"title":"refine_weight.m <span style='color:#111;'> 180B </span>","children":null,"spread":false},{"title":"load_images.m <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"save_weight.m <span style='color:#111;'> 216B </span>","children":null,"spread":false},{"title":"wlsFilter.m <span style='color:#111;'> 2.29KB </span>","children":null,"spread":false},{"title":"pyramid_decomposition","children":[{"title":"reconstruct_laplacian_pyramid.m <span style='color:#111;'> 674B </span>","children":null,"spread":false},{"title":"downsample.m <span style='color:#111;'> 633B </span>","children":null,"spread":false},{"title":"pyramid_filter.m <span style='color:#111;'> 252B </span>","children":null,"spread":false},{"title":"gaussian_pyramid.m <span style='color:#111;'> 545B </span>","children":null,"spread":false},{"title":"laplacian_pyramid.m <span style='color:#111;'> 1.02KB </span>","children":null,"spread":false},{"title":"upsample.m <span style='color:#111;'> 846B </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"demo.m <span style='color:#111;'> 949B </span>","children":null,"spread":false}],"spread":true},{"title":"result2_Venice.png <span style='color:#111;'> 1.14MB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 483B </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

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