Fast auto-focusing method based on human visual system

HUANG De-tian; LIU Xue-chao; ZHANG Hong-sheng; ZHAO Jing-li

doi:10.3788/YJYXS20142905.0768

您当前的位置：

首页 >

文章列表页 >

Fast auto-focusing method based on human visual system

Table of contents | 更新时间：2020-08-12

- Fast auto-focusing method based on human visual system
- Chinese Journal of Liquid Crystals and Displays Vol. 29, Issue 5, Pages: 768-776(2014)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院研究生院北京,100049
  3. 华侨大学工学院,福建泉州,362021
  4. 中国科学院光学系统先进制造技术重点实验室,吉林长春,130033
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20142905.0768
  CLC： TP391
- Received：02 January 2014，
  
  Revised：23 February 2014，
  
  Published：05 October 2014
- 稿件说明：
移动端阅览
黄德天, 刘雪超, 张红胜, 赵晶丽. 基于人类视觉的快速自动调焦法[J]. 液晶与显示, 2014,29(5): 768-776

HUANG De-tian, LIU Xue-chao, ZHANG Hong-sheng, ZHAO Jing-li. Fast auto-focusing method based on human visual system[J]. , 2014,29(5): 768-776
黄德天, 刘雪超, 张红胜, 赵晶丽. 基于人类视觉的快速自动调焦法[J]. 液晶与显示, 2014,29(5): 768-776 DOI： 10.3788/YJYXS20142905.0768.

HUANG De-tian, LIU Xue-chao, ZHANG Hong-sheng, ZHAO Jing-li. Fast auto-focusing method based on human visual system[J]. , 2014,29(5): 768-776 DOI： 10.3788/YJYXS20142905.0768.

摘要

为了提高自动调焦算法的性能，对调焦评价函数和调焦搜索算法进行了研究。在分析人类视觉系统（HVS）特性研究成果的基础上，提出了一种基于HVS加权的小波调焦评价函数。根据视觉多通道特性和视觉敏感度带通特性，对不同方向、不同空间频带的小波高频系数分别赋予不同的权值。为了克服爬山法搜索速度慢的缺点，提出了一种基于SOM神经网络的搜索算法，采用训练完成的SOM神经网络预测镜头的最佳聚焦位置。实验结果表明，提出的小波调焦评价函数得到了比传统小波调焦评价函数更优的调焦特性曲线；采用本文的搜索算法平均仅需要采集处理7.3幅图像就能找到最佳聚焦位置，与基于全搜索的爬山法相比，节省了大量的搜索时间。说明提出的调焦方法不但可以得到符合人眼视觉的调焦效果，还可以实现快速自动调焦。

Abstract

In order to improve the performance of the auto-focusing algorithm

focus measure function and focus search algorithm are studied. On the basis of analyzing the research results of the characte-ristics of the human visual system (HVS)

a weighted wavelet focus measure function is proposed based on HVS. According to the visual multi-channel characteristics and the visual sensitivity band-pass characteristics

the different weights of the high frequency coefficients are set in different orientations and different spatial frequencies. To overcome the disadvantage of slow search speed of the mountain climbing searching algorithm

an improved searching algorithm is presented based on self-organizing map (SOM) neutral network. The well-trained SOM neutral network is applied to predicting the best focused lens position. The experimental results demonstrate that the characteristic of the proposed wavelet focus measure curve is better than that of traditional wavelet focus measure curve. Only 7.3 images need to be collected and processed averagely in the process of finding the best focused lens position by improved searching algorithm. Compared with the full search method

the proposed approach can reduce the search time greatly. It is concluded that this auto-focusing method can not only obtain the focusing effects in accordance with the human visual system

but also achieve auto-focusing rapidly.

关键词

Keywords

references

Wang D J, Ding W, Zhang T,et al.A fast auto-focusing technique for the long focal lens TDI CCD camera in remote sensing applications[J].Optics and Laser Technology,2012, 7(5): 1-8.[2] 卢振华,郭永飞, 李云飞,等. 利用CCD拼接实现推扫式遥感相机的自动调焦[J]. 光学精密工程, 2012,20(7):1559-1565. Lu Z H, Guo Y F, Li Y F,et al.Realization of auto-focus on APRC using CCD stitching[J].Optics and Precision Engineering,2012,20(7):1559-1565. (in Chinese)[3] 刘炳强,张帆,李景林,等. 空间相机调焦机构运动同步性误差分析[J]. 中国光学, 2013,6(6):946-951. Liu B Q, Zhang F, Li J L, et al.Analysis of synchronous motion error for focusing mechanism of space camera[J].Chinese Optics,2013,6(6):946-951. (in Chinese)[4] 许志涛,龙科慧,刘金国,等. 空间相机调焦机构精度检测系统设计[J]. 液晶与显示, 2013,28(6):943-947. Xu Z T, Long K H, Liu J G,et al.Design of focusing mechanism accuracy detection system of space camera[J].Chinese Journal of Liquid Crystals and Displays, 2013,28(6):943-947. (in Chinese)[5] 杨会生,张银鹤,柴方茂,等. 离轴三反空间相机调焦机构设计[J]. 光学精密工程, 2013,21(4):948-954. Yang H S, Zhang Y H, Chai F M, et al.Design of focusing mechanism for off-axis TMA space camera[J].Optics and Precision Engineering,2013,21(4):948-954. (in Chinese)[6] 陈伟,丁亚林,惠守文,等. 推扫式航空遥感器像面调焦机构设计[J]. 中国光学, 2012,5(1):30-34. Chen W, Ding Y L, Hui S W, et al.Design of image plane focusing structure for push-scan aerial remote sensing instrument[J].Chinese Optics,2012,5(1):30-34. (in Chinese)[7] Yin A J, Chen B Q, Zhang Y. Focusing evaluation method based on wavelet transform and adaptive genetic algorithm[J].Optical Engineering,2012, 51(2):023201.[8] 王德江,李文明,许永森,等. TDI-CCD全景航空相机快速自动检调焦方法[J]. 光电子激光, 2012, 23(8):1452-1457. Wang D J, Li W M, Xu Y S, et al.A fast auto-focusing technique for the TDI-CCD panoramic aerial camera[J].Journal of OptoelectronicsLaser,2012, 23(8): 1452-1457. (in Chinese)[9] Pertuz S, Puig D, Garcia M A. Analysis of focus measure operators for shape-from-focus[J].Pattern Recognition,2012:1-18.[10] 陈晓彬. 基于小波的自动对焦算法研究[J]. 通信技术, 2010,43(6):210-212. Chen X B. Study on auto-focus algorithm based on wavelet transform[J].Communications Technology,2010, 43(6):210-212. (in Chinese)[11] Daubeehies, Swelden W. Factoring wavelet transforms into lifting steps[J].J. Fourier Anal. Appl,1998, 4(3):245-267.[12] 黄德天,吴志勇,刘雪超,等. 一种适用于任意目标的离焦深度快速自动聚焦技术[J]. 光电子激光, 2013,24(4):799-804. Huang D T, Wu Z Y, Liu X C, et al.A depth from defocus fast auto-focusing technology for any target[J].Journal of OptoelectronicsLaser,2013, 24(4):799-804. (in Chinese)[13] 王代华,周锋,吴朝明. 基于阈值的调焦方向判断方法[J]. 仪器仪表学报, 2010,31(8):1813-1818. Wang D H, Zhou F, Wu Z M. Direction judgment method for autofocus based on threshold[J].Chinese Journal of Scientific Instrument,2010,31(8):1813-1818. (in Chinese)[14] Xu D J. A unified approach to autofocus and alignment for pattern localization using hybrid weighted Hausdorff distance[J].Pattern Recognition Letters,2011(32):1747-1755.[15] Kohonen T. The self-organization maps[J].Proceedings of the IEEE, 1990,78(9):1464-1480.[16] Kohonen T.Self-Organization and Associative Memory[M]. 2nd Ed.Berlin: Springer-Verlag, 1987.[17] Kohonen T.Essentials of the self-organizing map[J].Neural Networks,2013(37):52-65.[18] Mannos J L, Sakrison D J. The effect of a visual fidelity criterion on the encoding of images[J].IEEE Transactions on Inform.Theory,1974,20(2):525-536.[19] 张乐,姜威. 多分辨力分析在自动聚焦算法抗噪声性能中的应用[J]. 光学学报, 2007,27(12):2150-2154. Zhang L, Jiang W. Application of multi-resolution analysis in anti-noise capability of auto-focusing algorithm[J].Acta Optica Sinica,2007,27(12):2150-2154. (in Chinese)[20] 菅维乐,姜威,周贤. 一种基于小波变换的数字图像自动聚焦算法[J]. 山东大学学报:工学版, 2004,34(6):38-40,59. Jian W L, Jiang W, Zhou X. Auto-focusing algorithm of digital image based on wavelet transform[J].Journal of Shandong University:Engineering Science,2004,34(6):38-40,59. (in Chinese)[21] 丁艺芳. 基于小波变换和视觉系统的图像质量综合评价新算法[D].上海:上海大学,2001. Ding Y F. A new algorithm for integrated image quality measurement base on wavelet transform and human visual system[D]. Shanghai: Shanghai University, 2001.(in Chinese)[22] 王义文,刘献礼,谢晖. 基于小波变换的显微图像清晰度评价函数及3-D自动调焦技术[J]. 光学精密工程, 2006,14(6):1063-1069. Wang Y W, Liu X L,Xie H.A wavelet-based focus measure and 3-D autofocusing for microscope images[J].Optics and Precision Engineering,2006,14(6):1063-1069. (in Chinese)

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Auto-focusing method based on gray gradient and dark channel

Assessment of Laser-Dazzling Effects Based on Weighted Wavelet Transforms

Star map spatial target detection method based on fast local contrast and target features

Color image quality assessment based on colornames

Environment adaptive tone mapping algorithm for display devices

Related Author

Hai-jiang SUN

Shan JIANG

Jia-cheng WANG

Jia-song WANG

WANG Ting-feng

SUN Tao

GUO Jin

QIAN Fang

Related Institution

University of Chinese Academy of Sciences

Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences, State Key Laboratory of Laser Interaction with Matter

Changchun Changguang Zhiou Technology Co.， Ltd.

Changchun Institute of Optics， Fine Mechanics and Physics， Chinese Academy of Sciences

College of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China 130033 Postal code：130033
Tel：0431-86176059 Email：yjxs@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰