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基于能量函数的极值中值滤波星图去噪算法

王敏 赵金宇 陈涛 崔博川 高扬

王敏, 赵金宇, 陈涛, 崔博川, 高扬. 基于能量函数的极值中值滤波星图去噪算法[J]. 电子与信息学报, 2017, 39(6): 1387-1393. doi: 10.11999/JEIT160955
引用本文: 王敏, 赵金宇, 陈涛, 崔博川, 高扬. 基于能量函数的极值中值滤波星图去噪算法[J]. 电子与信息学报, 2017, 39(6): 1387-1393. doi: 10.11999/JEIT160955
WANG Min, ZHAO Jinyu, CHEN Tao, CUI Bochuan, GAO Yang. Extremum Median Filter Map Denoising Algorithm Based on Energy Function[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1387-1393. doi: 10.11999/JEIT160955
Citation: WANG Min, ZHAO Jinyu, CHEN Tao, CUI Bochuan, GAO Yang. Extremum Median Filter Map Denoising Algorithm Based on Energy Function[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1387-1393. doi: 10.11999/JEIT160955

基于能量函数的极值中值滤波星图去噪算法

doi: 10.11999/JEIT160955
基金项目: 

国家863计划项目(2011AA8082035),中国科学院长春光学精密机械与物理研究所三期创新工程资助项目(065X32CN60)

Extremum Median Filter Map Denoising Algorithm Based on Energy Function

Funds: 

The National 863 Program of China (2011AA 8082035), The Third Phase of Innovative Engineering Projects of the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences (065X32CN60)

  • 摘要: 利用地基观测相机拍摄的以深空为背景的星图受星空复杂背景的影响,往往具有较高的噪声水平。同时由于星图主要由恒星、空间目标和星空背景噪声组成,且成点状分布,星图目标和噪声呈现较大的相似性,传统的图像去噪算法并不适用于星图。为此,该文提出一种基于能量函数的极值中值滤波去噪算法,该算法在去除星图椒盐噪声的同时能够较好地保持图像目标信息。该方法针对疑似噪声点采用二次检测的方式,并且结合改进的自适应中值滤波和能量函数模型进行灰度值恢复。该文分别使用仿真试验和真实星图处理试验对该方法进行验证,在客观评价中,图像峰值信噪比PSNR(Peak Signal to Noise Ratio)最高可提高3倍多,均方误差MSE(Mean Squared Error)减小为加噪图像的 。试验结果表明,该方法可有效地降低传统方法的噪声误检问题,同时提高噪声图像的恢复精度,非常适合星图噪声的去除。
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出版历程
  • 收稿日期:  2016-09-22
  • 修回日期:  2017-02-15
  • 刊出日期:  2017-06-19

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