|本期目录/Table of Contents|

[1]王雷雷,金学波. 基于S曲线多尺度Retinex红外图像增强算法[J].浙江理工大学学报,2011,28(05):763-766.
　WANG Lei lei,JIN Xue bo. Infrared Image Enhancement Algorithm Based on S Curves MultiScale Retinex[J].Journal of Zhejiang Sci-Tech University,2011,28(05):763-766.
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 基于S曲线多尺度Retinex红外图像增强算法()
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浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第28卷
期数:
2011年05期
页码:
763-766
栏目:
出版日期:
2011-10-30

文章信息/Info

Title:
 Infrared Image Enhancement Algorithm Based on S Curves MultiScale Retinex
文章编号:
16733851 (2011) 05076304
作者:
 王雷雷;  金学波
 浙江理工大学信息电子学院， 杭州 310018
Author(s):
 WANG Leilei;  JIN Xuebo
 School of Informatics and Electronics, Zhejiang SciTech University, Hangzhou 310018, China
关键词:
 ; 图像增强;  MSR;  Retinex理论
分类号:
TP391.4
文献标志码:
A
摘要:
    针对受环境影响造成红外图像热成像对比度不足的问题，应用多尺度 Retinex增强算法，对低能见度的红外图像进行图像增强，并在此基础上提出了一种改进的基于S曲线多尺度Retinex红外图像增强算法，该S曲线函数具有定义域与值域区间一致、拐点非对称的特点。实验结果表明：利用改进后的算法，对红外图像进行图像增强，在目标图像增强的同时也抑制了背景噪声，提高了原图像的对比度与质量，获得了目标区域的最佳视觉效果。

参考文献/References:

 ［1］于天河, 郝富春, 康为民, 等. 红外图像增强技术综述［J］. 红外与激光工程, 2007, 36(S): 335338.
［2］ Edwin H Land. An alternative technique for the computation of the designator in the Retinex theory of color vision［J］. Proc Natl Acad, Sci USA, 1986, 83: 30783080.
［3］ Wang Ronggui, Zhu Jing, Yang Wanting, et al. An improved local multiscale retinex algorithm based on illuminance image segmentation［J］. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2010, 38(5): 11811186.
［4］ Bertalmio, Marcelo, Caselles, et al. Issues about Retinex theory and contrast enhancement［J］. International Journal of Computer Vision, 2009, 83(1): 101119.
［5］ Park Y K, Park S L, Kim J K. Retinex method based on adaptive smoothing for illumination invariant face recognition［J］. Signal Processing, 2008, 88(8): 19291945.
［6］ 彭佳琦, 刘秉琦, 董伟, 等. 基于多尺度Retinex的图像增强算法［J］. 激光与红外, 2008, 38(11): 11601163.

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备注/Memo

备注/Memo:
 收稿日期： 2010-11-07
基金项目： 国家自然科学基金（60971119）；浙江省科技厅面上项目（2009C34017）
作者简介： 王雷雷(1985-)，男，安徽淮北人，硕士研究生，主要从事数字视频图像处理与信息融合方面的研究。
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