Application of Retinex with grayscale stretching in large dynamic range smoke image enhancement

Chen Zhibin; Zhang Chao; Song Yan; Liu Xianhong

To solve the problem that traditional Retinex cannot work well in large dynamic range smoke image enhancement, the reasons was analyzed and a new Retinex algorithm was proposed with self- adaptive grayscale stretching. A mathematical model was built to estimate the gray level range of smoke area by calculating local dynamic range and information entropy. By stretching the gray level range calculated and processing the image with Retinex of different scales, the enhanced image was got. Experiment shows that the method can increase the information entropy of large dynamic range image and enhance the contrast of smoke area.

1. Ordnance Institute of Technology,Shijiazhuang 050000,China

Received Date: 2014-01-10

Rev Recd Date: 2014-02-08

Publish Date: 2014-09-25

Key words:

Abstract: To solve the problem that traditional Retinex cannot work well in large dynamic range smoke image enhancement, the reasons was analyzed and a new Retinex algorithm was proposed with self- adaptive grayscale stretching. A mathematical model was built to estimate the gray level range of smoke area by calculating local dynamic range and information entropy. By stretching the gray level range calculated and processing the image with Retinex of different scales, the enhanced image was got. Experiment shows that the method can increase the information entropy of large dynamic range image and enhance the contrast of smoke area.

HTML

Reference (21)

[1]
[2]	Hu Weiwei, Wang Guirong, Fang Shuai, et al. Retinexalgorithm for image enhancement based on bilateral biltering[J]. Journal of engineering graphics, 2010, 2: 104-109. (inChinese)胡韦韦, 汪荣贵, 方帅. 基于双边滤波的Retinex 图像增强算法[J]. 工程图学报, 2010, 2: 104-109.
[3]
[4]	Yang Chen. Research on Fog-degraded image enhancement[D]. Nanjing: Nanjing University of Science and Technology,2007. (in Chinese)杨辰. 雾天图像增强算法研究[D]. 南京: 南京理工大学, 2007.
[5]	Ai Mingjing, Dai Longzhong, Cao Qinghua. A self-adaptation image enhancement method for fog elimination infoggy environment [J]. Computer Simulation, 2009, 26(7):244-247. (in Chinese)艾明晶, 戴隆忠, 曹庆华. 雾天环境下自适应图像增强去雾方法研究[J]. 计算机仿真, 2009, 26(7):244-247.
[6]
[7]
[8]	Chu Zhaohui, Wang Ronggui, Fang Shuai. Enhancementalgorithm of misty image based on Retinex theory in wave-let domain [J]. Computer Engineering and Applications,2011, 47(15): 175-179. (in Chinese)储昭辉, 汪荣贵, 方帅. 基于Retinex 理论的小波域雾天图像增强方法[J]. 计算机工程与应用, 2011, 47(15): 175-179.
[9]
[10]	Zhang Xinlong, Wang Ronggui, Zhang Xuan, et al.Calculation modle and algorithm in foggy imageenhancement [J]. Journal of Image and Graphics, 2011, 16(8): 1359-1368. (in Chinese)张新龙, 汪荣贵, 张璇, 等. 雾天图像增强计算模型及算法[J]. 中国图象图形学报, 2011, 16(8): 1359-1368.
[11]
[12]	Fu Guowen. Research and Realization of image enhancementbased on retinex algorithm [D]. Shanghai: Shanghai JiaoTong University, 2011. (in Chinese)付国文. 基于Retinex 的图像增强算法研究及实现[D]. 上海: 上海交通大学, 2011.
[13]
[14]	Zhang Shangwei, Zeng Ping, Luo Xuemei, et al. Multi-scaleRetinex with detail compensation and color restoration [J].Journal of Xi'an Jiaotong University, 2012, 46 (4): 32-37.(in Chinese)张尚伟, 曾平, 罗雪梅, 等. 具有细节补偿和色彩恢复的多尺度Retinex 色调映射算法[J]. 西安交通大学学报, 2012,46(4): 32-37.
[15]
[16]	Zhu Shuangzhi, Wen Jianguo, Yang Dong, et al. Newenhancement algorithm for remote sensing image based onRetinex theory [J]. Remote Sensing Technology andApplication, 2012, 27(4): 549-554. (in Chinese)朱双志, 文建国, 杨冬. 基于Retinex 理论的新型遥感图像增强算法[J]. 遥感技术与应用, 2012, 27(4): 549-554.
[17]	Wang Linlin, Yu Mei, An Chao. Color image enhancementbased on fuzzy multi-scale Retinex [J]. Computer Engineeringand Application, 2012, 48(7): 174-176. (in Chinese)汪林林, 余梅, 安超. 模糊多尺度Retinex 彩色图像增强[J]. 计算机工程与应用, 2012, 48(7): 174-176.
[18]
[19]	Wang Dabao. Research on infrared small target detection andtracking under complex background [D]. Xi' an: XidianUniversity, 2010. (in Chinese)汪大宝. 复杂背景下的红外弱小目标检测与跟踪技术研究[D]. 西安: 西安电子科技大学, 2010.
[20]
[21]	Wang Xin. Research on infrared target detection and trackingunder complex background [D]. Nanjing: Nanjing Universityof Science and Technology, 2010. (in Chinese)王鑫. 复杂背景下红外目标检测与跟踪算法研究[D]. 南京: 南京理工大学, 2010.

Application of Retinex with grayscale stretching in large dynamic range smoke image enhancement

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Related

Proportional views