帮助 关于我们

返回检索结果

基于直方图规定化的太阳图像增强方法
Solar Image Enhancement Based on Histogram Specification

查看参考文献28篇

王瑞 1,2   徐稚 1   杨磊 1   季凯帆 1 *  
文摘 太阳图像中包含了各种不同尺度、不同结构以及不同亮度的活动现象,它们都是实测太阳物理的研究目标。这些活动现象经常使图像显示的跨度过大,导致图像暗弱细节结构被隐藏。对于地基望远镜,由于地球大气对观测数据的影响,也造成图像整体对比度下降。这些都不利于人们直观地从图像中发现感兴趣的太阳活动现象或结构特征。针对这些问题,运用直方图规定化的方法对实测太阳物理中常遇到的几类观测目标图像(太阳极紫外像,太阳光球黑子像,色球活动区像以及色球日珥像)进行处理,通过瑞利分布、双高斯分布以及三重瑞利混合分布等直方图形式,实现对这几类图像的显示对比度增强。通过对空间望远镜太阳动力天文台(Solar Dynamic Observatory,SDO)的极紫外太阳像和1 m新真空太阳望远镜(New Vacuum Solar Telescope,NVST)的色球和光球像的处理展示了该方法的处理效果。结果表明,方法可以有效提高各类太阳活动现象的显示度,便于人们在研究初期发现感兴趣的活动现象。
其他语种文摘 The solar image contains a variety of different scales,different structures and different brightness active phenomena. These phenomena often causes the span of the image to be too large,resulting in hidden of faint detail structures. Furthermore,for the ground-based telescope,because of the influence of the earth atmosphere on the observations,the overall contrast of the image is decreased. These factors are not conducive for people to view the features of interest from images intuitively. To solve these problems,this paper uses the histogram specification method to deal with several targets (solar extreme ultra-violate image,sunspot,solar Hα active region and solar prominence)commonly encountered in solar observations. In this paper,the Rayleigh distribution,Double-Gaussian distribution and Triple-Rayleigh distribution is proposed to realize the contrast enhancement of these images. The effect of this method is demonstrated by the processing of solar ultraviolet images from Atmospheric Imaging Assembly on the Solar Dynamics Observatory (AIA/SDO),solar Hα image and sunspot image from New Vacuum Solar Telescope (NVST). The results show that this method can effectively improve the visibility of these solar active phenomena,and it is convenient for people to find interesting active phenomena in the early stage of the study.
来源 天文研究与技术 ,2018,15(2):158-168 【核心库】
关键词 太阳图像 ; 直方图规定化 ; 图像增强
地址

1. 中国科学院云南天文台, 云南, 昆明, 650011  

2. 中国科学院大学, 北京, 100049

语种 中文
文献类型 研究性论文
ISSN 1672-7673
学科 天文学
基金 国家自然科学基金
文献收藏号 CSCD:6223226

参考文献 共 28 共2页

1.  Gonzales R C. Digital iamge processing,2002 CSCD被引 1    
2.  Thomas G. Histogram specification: a fast and flexible method to process digital images. IEEE Transactions on Instrumentation and Measurement,2011,60(5):1565-1578 CSCD被引 3    
3.  Gayakwad S B. Image enhancement by histogram specification. International Journal of Recent Advances in Engineering & Technology,2014,2(4):10-12 CSCD被引 1    
4.  Maini R. A comprehensive review of image enhancement techniques. Journal of Computing,2010,2(3):8-13 CSCD被引 5    
5.  Kenneth R C. Digital image processing,1996 CSCD被引 7    
6.  Kong J. Image specification based on multimodal Gaussian-like function. Unifying Electrical Engineering and Electronics Engineering,2014:1197-1205 CSCD被引 1    
7.  Cobra D T. A generalization of the method of quadratic hyperbolization of image histograms. Proceedings of the 38th Midwest Symposium on Circuits and Systems,1995:141-144 CSCD被引 2    
8.  Glackin D L. Application of digital image processing techniques to faint solar flare phenomena. Conference on Applications of Digital Image Processing to Astronomy,1980:236-242 CSCD被引 1    
9.  Morgan H. An observation of solar active region expansion into the heliosphere. Monthly Notices of the Royal Astronomical Society: Letters,2013,433(1):L74-L78 CSCD被引 1    
10.  Papoulis A. Probability,random variables,and stochastic processes,2002 CSCD被引 3    
11.  Wegener M. Destriping multiple sensor imagery by improved histogram matching. International Journal of Remote Sensing,1990,11(5):859-875 CSCD被引 36    
12.  Stricker M A. Similarity of Color Images. Storage and Retrieval for Image and Video Databases (SPIE),1995:381-392 CSCD被引 3    
13.  Fecker U. Improving the prediction efficiency for multi-view video coding using histogram matching. Picture Coding Symposium (PCS 2006),2006 CSCD被引 1    
14.  Wedemeyer-Bohm S. Coupling from the photosphere to the chromosphere and the corona. Space Science Reviews,2009,144(1/4):317-350 CSCD被引 1    
15.  Berkebile-Stoiser S. Multi-wavelength fine structure and mass flows in solar microflares. Astronomy & Astrophysics,2009,505(2):811-823 CSCD被引 3    
16.  Otsu N. A threshold selection method from gray-level histogram. IEEE Transactions on Systems Man & Cybernetics,1979,9(1):62-66 CSCD被引 2345    
17.  Liu D. Otsu Method and K-means. Ninth International Conference on Hybrid Intelligent Systems,2009:344-349 CSCD被引 2    
18.  Liao P S. A fast algorithm of multilevel thresholding. Journal of Information Science and Engineering,2001,17(5):713-727 CSCD被引 16    
19.  Guglielmino S L. Multiwavelength observations of small-scale reconnection events triggered by magnetic flux emergence in the solar atmosphere. The Astrophysical Journal,2010,724(2):1083-1098 CSCD被引 2    
20.  Suresh S. A multi-channel approach for segmentation of solar corona in images from the solar dynamics observatory. Image Processing Workshop (WNYIPW),2012:33-36 CSCD被引 1    
引证文献 1

1 沐芳 基于盲退卷积的AIA图像增强方法 天文研究与技术,2022,19(1):41-53
CSCD被引 0 次

显示所有1篇文献

论文科学数据集
PlumX Metrics
相关文献

 作者相关
 关键词相关
 参考文献相关

版权所有 ©2008 中国科学院文献情报中心 制作维护:中国科学院文献情报中心
地址:北京中关村北四环西路33号 邮政编码:100190 联系电话:(010)82627496 E-mail:cscd@mail.las.ac.cn 京ICP备05002861号-4 | 京公网安备11010802043238号