Result: Image recovering for sparse-aperture systems

Title:
Image recovering for sparse-aperture systems
Authors:
QUANYING WU, LIN QIAN, WEIMIN SHEN
Source:
Information optics and photonics technology (Beijing, 8-11 November 2004)SPIE proceedings series. :478-486
Publisher Information:
Bellingham WA: SPIE, 2005.
Publication Year:
2005
Physical Description:
print, 6 ref
Original Material:
INIST-CNRS
Subject Terms:
Electronics, Electronique, Optics, Optique, Physics, Physique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Physique, Physics, Domaines classiques de la physique (y compris les applications), Fundamental areas of phenomenology (including applications), Optique, Optics, Formation des images et traitement optique, Imaging and optical processing, Fonctions de transfert optique et de transfert de modulation, Modulation and optical transfer functions, Eléments, dispositifs, et systèmes optiques, Optical elements, devices, and systems, Fonction transfert modulation, Modulation transfer function, Función transferencia modulación, Qualité image, Image quality, Calidad imagen, Restauration image, Image restoration, Télédétection, Remote sensing, 4230L
Time:
4279
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
University of Science and Technology of Suzhou, Suzhou 215009, China
Institute of Modern Optical Technology, Soochow University, Suzhou 215006, China
School of Phys Sci&Tech, Soochow University, Suzhou 215006, China
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18525280
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Physics: optics
Accession Number:
edscal.18525280
Database:
PASCAL Archive

Further Information

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.