Real-time processing of image restoration for space camera

FU Tian-jiao; ZHANG Li-guo; WANG Wen-hua; ZHANG Yu; REN Jian-yue

doi:10.3788/OPE.20152304.1122

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Real-time processing of image restoration for space camera

更新时间：2020-08-13

- Real-time processing of image restoration for space camera
- Optics and Precision Engineering Vol. 23, Issue 4, Pages: 1122-1130(2015)
- 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. 中国科学院大学北京,中国,100049
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152304.1122
  CLC： V447.3;TP752.1
- Received：21 May 2014，
  
  Revised：07 July 2014，
  
  Published：25 April 2015
- 稿件说明：
移动端阅览
付天骄, 张立国, 王文华等. 空间相机图像复原的实时处理[J]. 光学精密工程, 2015,23(4): 1122-1130

FU Tian-jiao, ZHANG Li-guo, WANG Wen-hua etc. Real-time processing of image restoration for space camera[J]. Editorial Office of Optics and Precision Engineering, 2015,23(4): 1122-1130
付天骄, 张立国, 王文华等. 空间相机图像复原的实时处理[J]. 光学精密工程, 2015,23(4): 1122-1130 DOI： 10.3788/OPE.20152304.1122.

FU Tian-jiao, ZHANG Li-guo, WANG Wen-hua etc. Real-time processing of image restoration for space camera[J]. Editorial Office of Optics and Precision Engineering, 2015,23(4): 1122-1130 DOI： 10.3788/OPE.20152304.1122.

摘要

提出了一种基于有效提取点扩散函数(PSF)的图像实时复原方法来提高空间相机成像性能。从典型的图像复原原理出发

分析了实时复原的关键问题。将PSF与典型的线性复原滤波方法相结合计算出实时复原的反卷积算子

通过空间域卷积计算的方式进行实时复原

并以现场可编程门阵列(FPGA)为核心器件设计了具备图像实时复原计算性能的硬件系统。利用上述设计在硬件平台上对空间相机的遥感图像数据进行了实验验证

并与经典图像复原方法的效果进行了对比。结果显示

采用该平台对单片CCD像元数为12 000的空间相机图像进行复原后

灰度平均梯度由3.788 7提升到8.229 6

拉普拉斯和由15.456 7提升到43.907 5

达到了经典图像复原的性能。在模板尺寸为19 pixel×19 pixel时

实时复原处理延时为1.9 ms

复原后的相机调制传递函数在Nyqyist频率处从0.1提高到0.23

有效地提高了空间相机系统的成像性能。

Abstract

To enhance the imaging performance for a space camera

a real-time image restoration method was proposed based on the efficient extraction of Point Spread Function (PSF). The key issues of real-time image restoration were analyzed based on typical image restoration methods. A deconvolution operator was given by combining the PSF with the typical image restoration methods. Then

the real-time recovery processing was carried out in a spatial domain by using a Field Programming Gate Array(FPGA) as the core device. The verified experiments on the remote sensing image data from the space camera were performed on a hardware platform and the restoration results by proposed method were compared with those by typical image restoration methods. The comparative results show that the gray mean gradient of the image from one space camera with 12 000 pixel CCD chip has improved from 3.7887 to 8.2296 and the Laplacian from 15.4567 to 43.9075

which achieves the same performance as that of the typical image restoration methods. The image processing delay is 1.9 ms when the deconvolution operator size is 19 pixel×19 pixel

and the Modulation Transfer Function(MTF) is increased from 0.1 to 0.23 at the Nyqyist frequency. These data demonstrate that the imaging performance within the whole space camera system is significantly improved by the real-time image restoration system.

关键词

Keywords

references

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