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[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:
机电与信息科技
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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