基于自适应平台阈值和拉普拉斯变换的红外图像增强 -

姓名
邮箱
手机号码
标题
留言内容
验证码

基于自适应平台阈值和拉普拉斯变换的红外图像增强

1.
中国科学院长春光学精密机械与物理研究所,吉林长春 130033;
2.
中国科学院研究生院,北京 100039

详细信息

作者简介:
孙海江(1980-),男,吉林辉南人,博士,助理研究员,主要从事基于DSP的实时数字图像处理方面的研究。 E-mail:sunhaijiang@126.com 王延杰(1963-),男,吉林长春人,研究员,博士生导师,主要从事数字图像实时处理技术方面的研究。 E-mail:wyjciomp@gmail.com
孙海江(1980-),男,吉林辉南人,博士,助理研究员,主要从事基于DSP的实时数字图像处理方面的研究。 E-mail:sunhaijiang@126.com 王延杰(1963-),男,吉林长春人,研究员,博士生导师,主要从事数字图像实时处理技术方面的研究。 E-mail:wyjciomp@gmail.com

中图分类号:TP391.4
计量
- 文章访问数:3728
- HTML全文浏览量:404
- PDF下载量:1018
- 被引次数:0
出版历程
- 收稿日期:2011-07-19
- 修回日期:2011-08-18
- 刊出日期:2011-10-25

Enhancement of infrared images based on adaptive platform threshold and Laplace transformation

1.
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;
2.
Graduate University of Chinese Academy of Sciences, Beijing 100039, China

摘要

摘要:针对红外图像对比度低和边缘模糊的特点,提出了一种结合自适应平台直方图均衡化和拉普拉斯变换的方法。采用双数字信号处理器(DSP)并行处理,其中一片DSP采用自适应平台直方图均衡化的方法获得对比度增强后的图像;另一片DSP则进行拉普拉斯变换获得原始图像的边缘图像;最后由第二片DSP完成两幅图像按系数相乘后的叠加融合。实验结果表明:该算法增强效果和实时性较好,处理频率可达50 Hz,既提高了图像对比度又清晰了图像边缘,是提高图像对比度和边缘清晰度的高效算法。
- 红外图像/
- 自适应平台直方图/
- 边缘增强/
- 实时增强
Abstract:As for low contrasts and fuzzy edges of infrared images, an infrared image enhancement method combined with adaptive platform histogram equalization and Laplace transformation is pressented to not only improve the image contrasts but also to sharp the image edges. The algorithm uses double Digital Signal Processors(DSP) to complete parallel processing. Among them, a DSP obtains the image contrast enhancement by using the adaptive platform histogram equalization, and the other one performs Laplace transform algorithm to obtain the edge image from an original image. Finally, the multiplied fusion of two images is finished by coefficient superposition. Experimental results show that this algorithm has an excellent enhancement effect and real-time performance, which satisfies the requirement of 50 Hz processing frequency and improves the image contrast and sharps the image edge.
- infrared image/
- adaptive platform histogram/
- edge enhancement/
- real-time enhancement

HTML全文

参考文献 (1)

[1] 阮秋琦.数字图像处理学[M]. 北京:电子工业出版社,2001. RUAN Q Q.Digital Image Processing[M]. Beijing:Publishing House of Electronics Industry,2001.(in Chinese) [2] 周妮,张勇,吴滢跃. 一种新的实时红外图像增强技术[J]. 红外技术 ,2010,32(6):324-327. ZHOU N,ZHANG Y,WU Y Y. A new real-time image enhancement in IR imaging system[J].Infrared Technology,2010,32(6):324-327.(in Chinese) [3] 王炳健,刘上乾,周慧鑫, 等. 基于平台直方图的红外图像自适应增强算法[J]. 光子学报 ,2005,34(2):299-301. WANG B J,LIU SH Q,ZHOU H X,et al.. Self-adaptive contrast enhancement algorithm for infrared images based on plateau histogram[J].Acta Photonica Sinica,2005,34(2):299-301.(in Chinese) [4] 宋岩峰,邵晓鹏,徐军. 基于双平台直方图的红外图像增强算法[J]. 红外与工程 ,2008,37(2):308-311. SONG Y F,SHAO X P,XU J. New enhancement algorithm for infrared image based on double plateaus histogram[J].Infrared and Laser Eng.,2008,37(2):308-311.(in Chinese). [5] 郭强,陈桂林. 基于双DSP的遥感图像实时并行处理系统[J]. 光学精密工程 ,2002,10(6):547-551. GUO Q,CHEN G L. Real-time parallel processing system for remote sensing images based on two DSPs[J].Opt. Precision Eng.,2002,10(6):547-551.(in Chinese) [6] 朱明,鲁剑峰,赵健,等. 基于TMS320C6202DSp的实时数字图像处理系统的设计[J]. 光学精密工程 ,2003,11(5):497-501. ZHU M,LU J F,ZHAO J,et al.. Design of real time digital image processing system based TMS320c6202 DSP[J].Opt. Precision Eng.,2003,11(5):497-501.(in Chinese) [7] GUO J,LIU W G,et al.. Adaptive algorithm of infrared target enhancement for target recognition of infrared detector[J].SPIE,2009,7283:728311. [8] 赖睿,刘上乾,王炳健,等. 一种新的自适应红外图像增强算法[J]. 半导体光电 ,2006,27(6):767-769. LAI R,LIU SH Q,WANG B J,et al.. A new adaptive enhancement algorithm for infrared image[J].Semiconductor Optoel Ectronics,2006,27(6):767-769.(in Chinese) [9] 邓志鹏,许丽敏,杨杰,等. 基于直方图相关的图像灰度校正[J]. 红外与工程 ,2003,32(2):167-169. DENG ZH P,XU L M,YANG J,et al.. Image gray calibration based on histogram correlation[J].Infrared and Laser Eng.,2003,32(2):167-169.(in Chinese) [10] 曹聚亮,吕海宝,李冠章. 基于自适应局部灰度修正的直方图均衡算法[J]. 红外与工程 ,2004,33(5):513-515. CAO J L,LV H B,LI G ZH. Histogram equalization algorithm based on adaptive local gray level modification[J].Infrared and Laser Eng.,2004,33(5):513-515.(in Chinese) [11] 张志龙,李吉成,沈振康. 一种保持图像细节的直方图均衡新算法[J]. 计算机工程与科学 ,2006,28(5):36-38. ZHANG ZH L,LI J CH,SHEN ZH K. A new algorithm for image-detail-preserving histogram equalization[J].Computer Eng. Sci.,2006,28(5):36-38.(in Chinese) [12] HUCKRIDGE D A,EBERT R R. Dynamic range compression and contrast enhancement in IR imaging systems[J].SPIE,2007,6737:67370P. [13] CHEN Q,ZHANG B M,GU G H. Dynamic inter-frame filtering in IR image sequences[J].J. Institute Technol. Nanjing,2003,27(5):653-656. [14] ZHOU M,XU SH H. A little infrared goal picture detection method[J].Semiconductor Optoelectronics,2004,25(3):224-225. [15] 陈峥,吉书鹏. 一种基于Otsu法和平台直方图均衡的红外图像增强算法[J]. 与红外 ,2010,40(4):438-441. CHEN ZH,JI SH P. Enhancement algorithm of infrared images based on Otsu and plateau histogram equalization[J].Laser&Infrared,2010,40(4):438-441.(in Chinese)

施引文献

附加信息 (0)

访问统计