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

來源出版物：EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 文獻編号：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

文獻類型：Article

語種：English

作者關鍵詞：Dehazing, Denoising, Deblurring, Non-local methods, Variational model

擴展關鍵詞：

DENOISING ALGORITHMS

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

電子郵件地址：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年的開放式存取期刊，2012年影響因子0.807。88858cc永利官网圖書館購買的SPRINGER電子期刊數據庫提供全文閱讀：http://asp.eurasipjournals.com/