版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领
文档简介
1、1 仁 , , , 傮傦 亶 , 僔. . , , 仇 , , , , . , . 儈, . . , Narasimhan 1 , ; 2, Shwartz ; 3 ; 4 . , , . , Tan5 , 亩 973亩(亩 : 2010CB731800, 2009CB320602 、 (亩 : 61210012, 61021063, 61290324 . . Fattal 6 , . He7 傼 , , . , He . , , 5 600h400 5 7 (double processors of Pentium 4 and 1 GB memory, 6 512h512 35。(C+, a
2、 1.6 GHz Intel Pentium dual core processor, 7 600h400 10 20。(a 3.0 GHz Intel Pentium 4 Processor. Tarel8 , , , . 儈. 7 8 . 9 , , . , , . 10 , 7 僔. 11 , 仌 , . , , , 100084E-mail: zdh: , . . , . , . 傼 , , .: , , , Fast Haze Removal from a Single ImageQian Liu, Maoyin Chen, Donghua ZhouDepartment of Aut
3、omation, Tsinghua University, Beijing 100084, P. R. ChinaE-mail: zdhAbstract: Images of outdoor scenes show poor visibility in presence of haze. This results in poor performance of many outdoor images progressing systems. In this paper, we present a fast haze removal method using a single color or g
4、ray level image. Based on the analyses of physical-based model, we estimate airlight and atmospheric light utilizing the simple average filter. Our method is very simple and efficient and achieves real-time computation. Experiments demonstrate that our results achieve as good visibility as a few sta
5、te-of-art algorithms.Key Words: Haze removal, Real-time, Physical-based model, Visibility3780978-1-4673-5534-6/13/$31.00c 2013IEEE , 儈. , . 8 , 8 儈, , 8 , 8 . , . , , , . , .2 2.1 亶 , . , 1rd x rd x H x F x e A e (1, x ; H (Haze image; F (Haze-free image; r ; d ; A (Atmospheric light, , (x .(1, (rd
6、x F x e (Direct attenuation, ; (1rd x A e (Airlight (Atmospheric veil, . (1, (L x (1rd x A e,1rd x L x A e(2(1 1L x H x F x L x A §· ¨¸©¹ (3, (H x (L x A , (F x . 2.2 (Medium transmission (t x 亩(rd x e , rd x t x e (4(1 (1H x F x t x A t x (5 (5,1A t x H x d (6 (6 仌 , ,
7、min c c r g b M x H x (7 >To o o A A A A (8 (6 (1(oA t x M x d ,1o M x t x A t(9 (4, (t x d . (t x (x . (t x 0 , 0, (H x A , (t x 1 , , (H x F x . (t x , , . (t x .(9 11a a s s o o average M x M x average A A §· ¨¸©¹21y x o a M y A s :¦ (10, a s , (x : (x a a s
8、s u . (t x , (t x , , a ave s M x average M x (11 1ave ave o oM x M x tx A A M (12 亩 , 01M d d .1G M , 1ave oM xtx A G (13 G , G , , , ; G , , . , av m G U (14 201325th Chinese Control and Decision Conference (CCDC3781, U 01av m U d d av m (M x . , av m 0 1, 0 1, av m (M x ; 0 255, (M x 255 . av m ,
9、 G . , av m , , , . M , G , 0.9,min ,0.9av m G U (15 (9, (13 (15, max 1min ,0.9,1ave av o o M x M x t x m A A U §· ¨¸©¹(16 (To o o L x L x L x L x , (2, (1(o o L x A t x , (Airlight min min ,0.9,o av ave L x m M x M x U (17 , , . , (H x , (M x (ave M x , (L x . ( 1 . 2.
10、3 5 A , 僔 . 7 0.1% , A , , . A . , (10 0 1, , max(o ave A M x t , , : ,max(max (co c r g b A H x d ,max(max(max (cave o c r g b M x A H x d d . ,o A ,max max 1max c o ave c r g b A H x M x H H §· ¨¸©¹(18, 01H d d . H , , , 0.5H ,11max max max 121c avec r g b A H x M x &
11、#170;º§·«»§· ¨¸¨¸«»©¹©¹«»¬¼ (19 , 亮 .3 (L x A , (F x 1H x L x F x L x A(20 僔 1 .1. 僔僔1 (H x . 2 (M x .,mincc r g bM x H x 3 (M x , (ave M x .aave sM x average M x4 (M x av m .5 (ave M x (L x .min
12、 min ,0.9,o av ave L x m M x M x U6 (ave M x (H x A .>,1max max max 1112Tcavec r g bA Hx M x7 (F x .1H x L x F x L x A (H x , (H x (M x (o L x , o A1max max 2o ave A H x M x(21 (F x1o o oH x L x F x L x A(223782201325th Chinese Control and Decision Conference (CCDC, , , , 僔.1 (U =1.3, (H x , (ave
13、 M x , (L x , (F x . 2 , U 傼 ,U 0.8, 1.2, 1.6 2.0.00.9av m U d d , U , , , ; 0.9av m U , U . , , av m , U ; av m . 1: 2: U 201325th Chinese Control and Decision Conference (CCDC3783 3: 4: 4 僂4.1 3 4 (U=1.3 . 3 4, , 7 , 8 . , 8 12 , 7 12 13.3, , , .4, , . , 7, 8 .4.2 8 . 8 3 4 2 3 . Matlab7.11 , : 2.
14、33GhzIntelCore2 (Q8200 CPU, 2GB , 64win7. (, 1/50( . 2 3 , 8. , , .2. ( /s 830.063 27.8330.032 5.2530.075 31.113. ( /s 840.033 39.7840.032 43.505 , , , 僔 , , , .3784201325th Chinese Control and Decision Conference(CCDC7 1 S. G. Narasimhan, S. K. Nayar, Contrast Restoration of Weather Degraded Images
15、, IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 25, No. 8, 713-724, 2003. 2 S. Shwartz, E. Namer, Y. Schechner, Blind Haze Separation, in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 19841991, 2006. 3 S. G. Narasimhan, S. K. Nayar, Interactive Deweathering of an Image U
16、sing Physical Models, in Proc. Workshop on Color and Photometric Methods in Computer Vision, 2003. 4 J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or,O. Deussen, M. Uyttendaele, D. Lischinski, Deep photo: Model-based photograph enhancement and viewing, ACM Trans. Graphics, Vol. 27, No. 5, 116:1-1
17、16:10, 2008. 5 R. T. Tan, Visibility in Bad Weather from a Single Image, in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1-8, 2008. 6 R. Fattal, Single Image Dehazing, in Proc. ACM SIGGRAPH, 1-9, 2008. 9 8 Kaiming He, Jian Sun, Xiaoou Tang, Single Image Haze Removal Using Dark Channel P
18、rior, in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1956-1963, 2009. J.-P. Tarel, N. Hautière, Fast Visibility Restoration from a Single Color or Gray Level Image, in Proc. IEEE Conf. Computer Vision, 22012208, 2009. Fang Li, Haoxian Wang, Xingpeng Mao, Yunlei Sun, Huiyao Song, Fast Single Image Defogging Algorithm, Computer Engineering and Design, Vol. 32, No. 12, 4129-4132, 2011. 10 Haoran Xu, Jianming Guo, Qing Liu, Lingli Ye, Fast Image Dehazing Using Improved Dark Channel Prior, in Proc. IEEE Conf. Information S
温馨提示
- 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
- 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
- 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
- 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
- 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
- 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
- 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。
最新文档
- 2026上半年安徽事业单位联考旌德县招聘20人考试重点试题及答案解析
- 2026湖南张家界市永定区信访局招聘公益性岗位人员1人笔试备考题库及答案解析
- 2026广东茂名化州市实验中学招聘物理临聘教师笔试备考题库及答案解析
- 2026云南农业职业技术学院招聘人员5人(博士)笔试备考题库及答案解析
- 4.6.1人体对外界环境的感知教学设计(2025-2026学年苏人教版生物八年级上册)
- 2026安徽合肥市庐阳中学凤台路分校教师招聘笔试备考试题及答案解析
- 2026年安徽交通职业技术学院单招综合素质考试备考题库含详细答案解析
- 2026江苏苏州国发数金科技有限公司招聘11人笔试备考题库及答案解析
- 2026江苏无锡新宏泰电器科技股份有限公司招聘30人笔试备考试题及答案解析
- 2026年十堰市教育局直属学校公开招聘教师103人笔试备考题库及答案解析
- 2026年上海市奉贤区初三上学期一模化学试卷和答案及评分标准
- 马年猜猜乐(猜美食)打印版
- 2025 学年第一学期上海市杨浦区初三语文期末质量调研试卷附答案解析
- 企业信息系统操作权限管理规范
- 2025年保险从业资格偿付能力测试
- 中国汽车弹簧行业发展趋势及发展前景研究报告2025-2028版
- 人教版2024年七年级上册英语期末学业质量评价测试卷(含答案)
- 如愿三声部合唱简谱
- 离港系统指令
- 如何系统进行商铺定价
- 美的生产线基础人员培训资料铁三角
评论
0/150
提交评论