太阳成8722(中国)有限公司-GREEN NO.1

标题：Single image haze removal considering sensor blur and noise作者：Lan, Xia; Zhang, Liangpei; Shen, Huanfeng; Yuan, Qiangqiang; Li, Huifang

来源出版物：EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 文献编号：86 DOI：10.1186/1687-6180-2013-86 出版年：2013

摘要：Images of outdoor scenes are usually degraded under bad weather conditions, which results in a hazy image. To date, most haze removal methods based on a single image have ignored the effects of sensor blur and noise. Therefore, in this paper, a three-stage algorithm for haze removal, considering sensor blur and noise, is proposed. In the first stage, we preprocess the degraded image and eliminate the blur/noise interference to estimate the hazy image. In the second stage, we estimate the transmission and atmospheric light by the dark channel prior method. In the third stage, a regularized method is proposed to recover the underlying image. Experimental results with both simulated and real data demonstrate that the proposed algorithm is effective, based on both the visual effect and quantitative assessment.

入藏号：WOS:000319477000001

文献类型：Article

语种：English

作者关键词：Dehazing, Denoising, Deblurring, Non-local methods, Variational model

扩展关键词：

DENOISING ALGORITHMS

通讯作者地址：Shen, Huanfeng;Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址：shenhf@whu.edu.cn

地址：

[Lan, Xia] WuhanUniv, Sch Math & Stat,Wuhan430072, Peoples RChina.

[Zhang, Liangpei; Li, Huifang]WuhanUniv, State Key Lab Informat Engn Surveying Mapping & R,Wuhan*430079*, Peoples RChina.

[Shen, Huanfeng]WuhanUniv, Sch Resource & Environm Sci,Wuhan430079, Peoples RChina.

[Yuan, Qiangqiang]WuhanUniv, Sch Geodesy & Geomat,Wuhan430079, Peoples RChina.

研究方向：Engineering

ISSN：1687-6180

注：EURASIP Journal on Advances in Signal Processing是一份始于2007年的开放式存取期刊，2012年影响因子0.807。武汉大学图书馆购买的SPRINGER电子期刊数据库提供全文阅读：http://asp.eurasipjournals.com/