基于偏振图像融合的长波红外人脸图像增强技术

蔡怀宇,杨建乔,黄战华,等.基于偏振图像融合的长波红外人脸图像增强技术[J].纳米技术与精密工程,2016,14(4):262-268.

Cai Huaiyu,Yang Jianqiao,Huang Zhanhua,et al.LWIR human face image enhancement method based on polarimetric image fusion [J].Nanotechnology and Precision Engineering ,2016,14(4):262-268(in Chinese).

蔡怀宇1,2,杨建乔1,2,黄战华1,2,朱一攀1,2

(1.天津大学精密仪器与光电子工程学院,天津300072;2.光电信息技术教育部重点实验室,天津300072)

摘一要:针对非制冷型长波红外相机人脸成像模糊的缺点,提出一种基于偏振的红外图像增强方法,该方法在支持

度变换基础上有效地将人脸红外偏振信息和红外强度信息相融合.搭建分时偏振成像系统获取红外偏振图像,求

解得到红外强度和红外偏振度图像;对它们使用支持度变换方法进行多尺度分解后,采取相应的融合规则进行融

合得到最终融合增强图像.实验结果从主观人眼评价和客观参数评价两方面表明,增强图像拥有比红外图像更加

丰富的人脸轮廓信息.

关键词:图像增强;人脸红外图像;红外偏振成像;支持度变换;图像融合

中图分类号:TN219一一一文献标志码:A一一一文章编号:1672-6030(2016)04-0262-07一一收稿日期:2015-11-24.一一作者简介:蔡怀宇(1965 一),女,博士,教授.通讯作者:蔡怀宇,hycai@https://www.360docs.net/doc/a96649500.html,.LWIR Human Face Image Enhancement Method Based on Polarimetric Image Fusion

Cai Huaiyu 1,2,Yang Jianqiao 1,2,Huang Zhanhua 1,2,Zhu Pan 1,2

(1.School of Precision Instrument and Opto-Electronics Engineering,Tianjin University,Tianjin 300072,China;2.Key Laboratory of Opto-Electronics Information Technology,Ministry of Education,Tianjin 300072,China)Abstract :Since the face image obtained by the uncooled long-wavelength infrared (LWIR)camera is blurred,an infrared image enhancement method based on polarization is proposed.The fusion of infrared polarization and infrared intensity human face images based on support value transform method can effec-tively improve the contrast of infrared human face image and increase details.Time-division polarimetric imaging system was constructed to obtain infrared polarimetric images and calculate infrared intensity image and infrared polarization image.These images were decomposed into multi-scale images using support value transform method,then the decomposed images were combined in the same scale together using correspond-

ing fusion rules.Both subjective and objective evaluation results of the experiments show that the enhanced image obtained by the proposed method has more detailed information compared with the infrared image.

Keywords :image enhancement;infrared human face image;infrared polarimetric imaging;support value

transform;image fusion 一一红外人脸成像具有对光照二人脸皮肤二表情二姿态等因素变化不敏感的特点,成为弥补可见光人脸识别

的一个重要研究领域[1].红外人脸成像尤其适合在夜

间二暗室等光照条件恶劣的环境下实现全天候监控,可应用于多发生在夜间的犯罪识别,但也存在轮廓和细节特征模糊的缺点[2].