光学 精密工程, 2011, 19 (1): 168, 网络出版: 2011-03-28   

高精度影像测量系统中图像的超分辨率重建

Super-resolution reconstruction of image in high accuracy image measuring system
作者单位
天津大学 精密测试技术及仪器国家重点实验室,天津 300072
摘要
为了提高影像测量系统的测量精度,研究了基于微位移错位的多幅图像超分辨重建技术。考虑制作成本和制作难度,提出了一种不苛求精确微位移的超分辨率重建技术。首先,获取随机微位移图像序列;然后,利用被测对象中易于实现高精度提取的特征点或采用模板衬底中的特征点计算出图像序列间的准确位移关系;最后,根据本文提出的数学模型重建出高分辨率图像并用于影像测量。实验结果显示,在图像分辨率提升至原始图像4倍时,对于不同大小的微位移,测量精度提升了29%~64%,表明该方法能够有效地重建出包含被测信息的高分辨率图像,进而提升影像测量系统的精度。
Abstract
To improve the measuring accuracy of an image measuring system,the super-resolution image reconstruction technology for an image sequence is researched based on the micro-displacement.As the high accurate micro-displacement is difficult to realize and very expensive, a super-resolution reconstruction method which doesn't require the high accurate micro-displacement is proposed. Firstly, the image sequence based on an arbitrary micro-displacement is obtained. Then, the accurate micro-displacement of image sequence is calculated by the feature points of a tested object or a template using a substrate. Finally, the high-resolution image is reconstructed by the mathematical model proposed in this paper for radiographic measurement. The experimental results indicate that when the image resolution is 4 times that of an original image,the measurement accuracy will promote 29% to 64% according to the different micro-displacements,which shows the method can reconstruct a high-resolution image including tested objects effectively, and can improve the accuracy of the system.
参考文献

[1] 周智浩.基于序列图像的二维超分辨率重构技术研究 [D].浙江:浙江大学,2006.

    ZHOU ZH H. Research on two-dimensional super-resolution reconstruction technology based on image sequence [D]. Hangzhou: Zhejiang University, 2006. (in Chinese)

[2] HIDENORI T, TOSHIMITSU K. Image registration using subpixel-shifted images for super-resolution. [C]. IEEE International Conference on Image Processing, 2008:2404-2407.

[3] LEUNG K T, TONG C S. Effective use of low resolution images for super-resolution reconstruction [C]. 1st International Congress on Image and Signal Processing, 2008:320-325.

[4] XIAO Q, DING X H, QIAN K,et al.. A new method for multi-frame super-resolution reconstruction [C]. Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, 2009:892-895.

[5] 覃凤清,何小海,陈为龙,等. 一种图像配准的超分辨率重建[J]. 光学 精密工程,2009,17(2):409-416.

    QIN F Q, HE X H, CHEN W L, et al.. Super-resolution reconstruction method of image registration [J]. Opt. Precision Eng., 2009,17(2):409-416. (in Chinese)

[6] 徐正平,翟林培,葛文奇,等. 亚像元的CCD几何超分辨方法[J]. 光学 精密工程,2008,16(12):2447-2452.

    XU ZH P, QU L P, GE W Q, et al.. CCD geometric super-resolution method based on sub-pixel [J]. Opt. Precision Eng., 2008,16(12):2447-2452. (in Chinese)

[7] 黄战华,蔡怀宇,张以谟,等. 基于半像素错位的多幅图像重建高分辨率图像技术研究[J]. 光学技术,2002,28(5):389-394.

    HUANG ZH H, CAI H Y, ZHANG Y M, et al.. One method of super-resolution image rebuilding using multi-images of half pixel offset [J]. Optical Technique, 2002,28(5):389-394.(in Chinese)

[8] 王凌,张平,冯华君,等. 用多次移位成像提高CCD 成像分辨力的反演解析法[J ]. 光电工程,2003,30(3):62-65.

    WANG L, ZHAN G P, FENG H J,et al.. An inversion analysis method based on multi-shift imaging for improvement of CCD imaging resolution [J]. Opto-Electronic Engineering,2003,30(3):62-65. (in Chinese)

[9] 杜娟,余英林,谢胜利. 基于半像素运动信息的快速超分辨率图像重构算法 [J]. 华南理工大学学报(自然科学版),2005,33(5):53-58.

    DU J, YU Y L, XIE SH L. A fast algorithm based on sub-pixel motion for super-resolution reconstruction of image [J]. Journal of South China University of Technology (Natural Science), 2005, 33(5):53-58.(in Chinese)

[10] 曹聚亮.图像超分辨率处理、成像及其相关技术研究 [D].长沙:国防科学技术大学,2004.

    CAO J L. Research on super-resolution image processing, imaging and related technology [D]. Changsha: National University of Defense Technology,2004. (in Chinese)

张进, 王仲, 李雅洁, 叶声华. 高精度影像测量系统中图像的超分辨率重建[J]. 光学 精密工程, 2011, 19(1): 168. ZHANG Jin, WANG Zhong, LI Ya-jie, YE Sheng-hua. Super-resolution reconstruction of image in high accuracy image measuring system[J]. Optics and Precision Engineering, 2011, 19(1): 168.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!