0

Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Image recovering for sparse-aperture systems

[+] Author Affiliations
Quanying Wu

Univ. of Science and Technology of Suzhou (China) and Soochow Univ. (China)

Lin Qian, Weimin Shen

Soochow Univ. (China)

Proc. SPIE 5642, Information Optics and Photonics Technology, 478 (January 18, 2005); doi:10.1117/12.575405
Text Size: A A A
From Conference Volume 5642

  • Information Optics and Photonics Technology
  • Guoguang Mu; Francis T. S. Yu; Suganda Jutamulia
  • Beijing, China | November 08, 2004

abstract

Sparse-aperture imaging systems are desirable for aerospace applications because they can capture the same resolution as a filled aperture while reducing the systems" size and weight. A novel sparse-aperture model named dual three-sub-aperture is proposed. By comparing with the famous Golay 6, dual three-sub-aperture is regarded as a better configuration for aerospace remote sensing. But the images of sparse-aperture systems become blurry because of the modulation transfer function (MTF) loss. It is necessary to optimize the image quality by image restoration process. In order to achieve ideal images, image filter technique has been studied. First, the imaging simulations of dual three-sub-aperture system and the Golay 6 with different fill factor are generated. The images formed by these systems are recovered by means of proper filters. Then different kinds of noises and different noise levels are added, various filters with different parameters are applied to recover these images. And the optimal deblurred images are gained. Through the quantitative evaluations of its image quality it is shown that the mentioned filter technique can be used to effectively improve the quality of the images degraded by the MTF"s loss, i.e. the details in images can be enhanced and its edges be sharpened.

© (2005) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Quanying Wu ; Lin Qian and Weimin Shen
"Image recovering for sparse-aperture systems", Proc. SPIE 5642, Information Optics and Photonics Technology, 478 (January 18, 2005); doi:10.1117/12.575405; http://dx.doi.org/10.1117/12.575405


Access This Article
Sign In to Access Full Content
Please Wait... Processing your request... Please Wait.
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
 

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement

Buy this article ($18 for members, $25 for non-members).
Sign In