提高夜视融合目标可探测性的颜色对比度增强方法

殷松峰; 曹良才; 杨华; 谭峭峰; 何庆声; 凌永顺; 金国藩

红外与毫米波学报, 2009, 28 (4): 281, 网络出版: 2010-12-13

提高夜视融合目标可探测性的颜色对比度增强方法

COLOR CONTRAST ENHANCEMENT METHOD TO IMPROVE TARGET DETECTABILITY IN NIGHT VISION FUSION

论文大纲

殷松峰 ^1,2曹良才 ¹杨华 ²谭峭峰 ¹何庆声 ¹凌永顺 ²金国藩 ¹

作者单位

¹ 清华大学精密仪器与机械学系精密测试与仪器国家重点实验室, 北京 100084

² 电子工程学院安徽省红外与低温等离子体重点实验室, 安徽合肥 230037

图像融合夜视对比度增强颜色对比度目标探测 image fusion night vision contrast enhancement color contrast target detection

摘要

根据人眼视觉系统特性, 分析了场景理解和目标探测对彩色融合的要求, 并据此提出了一种通过颜色对比度增强来提高目标可探测性的夜视融合方法.该方法使热目标呈红色, 冷目标呈蓝绿色;根据红外图像特征, 引入了一种和红外图像各像素亮度与图像平均亮度的偏离相关的颜色对比度增强因子, 利用该因子可增强目标与背景的颜色对比度, 弥补颜色传递彩色融合方法在颜色对比度上的不足, 能有效提高目标可探测性.实验表明该方法既能突出红外目标, 又能保持丰富的背景细节, 在增强场景理解的同时提高了目标可探测性.

Abstract

Requirements on color image fusion for situation awareness and target detection tasks were analyzed based on the characteristics of human visual system. Then a night vision fusion method was presented to improve target detectability by enhancing color contrast between the target and the background. The proposed fusion method relates hot and cold targets to the colors of intense red and cyan, respectively. According to the characteristics of infrared images, a color contrast enhancement ratio related to the divergence of the intensity of each pixel from the mean intensity of the infrared image was utilized to enhance color contrast between the target and the background. The enhancing method offsets the disadvantage of color transfer method in color contrast and improves target detectability. Experimental results demonstrate that the method can not only pop out both hot and cold targets, but also keep details of the background well. The situation awareness and target detectability can be improved by the method.

参考文献

[1] . New false color mapping for image fusion[J]. Opt. Eng., 1996, 35(3): 650.

[2] WANG Ling-Xue, JIN Wei-Qi, SHI Jun-Sheng, et al. Research on fusion schemes of multi-band color night vision images based on opponent vision property［J］. J. Infrared Milim. Waves (王岭雪, 金伟其, 石俊生, 等.基于拮抗视觉特性的多波段彩色夜视融合方法研究. 红外与毫米波学报 ), 2006, 25 (6):455—459.

[3] . A categorization of multiscale decomposition-based image fusion schemes with a performance study for a digital camera application[J]. Proc. IEEE, 1999, 87(8): 1315.

[4] . A general framework for multiresolution image fusion: From pixels to regions[J]. Information Fusion, 2003, 4: 259.

[5] LIU Sheng-Peng, FANG Yong. Infrared image fusion algorithm based on contourlet transform and improved pulse couple neural network［J］. J. Infrared Milim. Waves (刘盛鹏, 方勇.基于Contourlet变换和IPCNN的融合算法及其在可见光与红外线图像融合中的应用. 红外与毫米波学报 ), 2007, 26 (3):217—221.

[6] . Color fusion algorithm for visible and infrared images based on color transfer in YUV color space[J]. Proc. SPIE, 2007, 6787: 67870.

[7] . A local-coloring method for night-vision colorization utilizing image analysis and fusion[J]. Information Fusion, 2008, 9(2): 186.

[8] SHI Jun-Sheng, JIN Wei-Qi, WANG Ling-Xue. Study on perceptual evaluation of fused image quality for color night vision［J］. J. Infrared Milim. Waves (石俊生, 金伟其, 王岭雪.视觉评价夜视彩色融合图像质量的实验研究. 红外与毫米波学报 ), 2005, 24 (3):236—240.

[9] Lanir Y. Comparing multispectral image fusion methods for a target detection task ［D］. Dissertation of Ben-Gurion University of the Negev, 2005.

殷松峰, 曹良才, 杨华, 谭峭峰, 何庆声, 凌永顺, 金国藩. 提高夜视融合目标可探测性的颜色对比度增强方法[J]. 红外与毫米波学报, 2009, 28(4): 281. YIN Song-Feng, CAO Liang-Cai, YANG Hua, TAN Qiao-Feng, HE Qing-Sheng, LING Yong-Shun, JIN Guo-Fan. COLOR CONTRAST ENHANCEMENT METHOD TO IMPROVE TARGET DETECTABILITY IN NIGHT VISION FUSION[J]. Journal of Infrared and Millimeter Waves, 2009, 28(4): 281.

提高夜视融合目标可探测性的颜色对比度增强方法

关于本站 Cookie 的使用提示

全站搜索

提高夜视融合目标可探测性的颜色对比度增强方法

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索