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Proceedings Paper

Iterative infrared image restoration
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Paper Abstract

Iterative infrared image restoration is concerned with the improvement of infrared imagery acquired in the presence of varying degradations. The degradations can arise from a variety of factors: common examples include undersampling of the infrared image data, uncontrolled platform or scene motion, system aberrations and instabilities, noise characteristic of the infrared detector. In this paper, the mathematic models of infrared image blur and sampling and noise models are discussed. The iterative infrared image restoration problem is discussed, too. We show the origin and restoration infrared images which are used in the application of iterative infrared image restoration. By assessing subjectively and objectively to restoration infrared images, we have verified this kind of model and the feasibility of the iterative infrared image restoration.

Paper Details

Date Published: 8 January 2008
PDF: 7 pages
Proc. SPIE 6835, Infrared Materials, Devices, and Applications, 683517 (8 January 2008); doi: 10.1117/12.753974
Show Author Affiliations
Tian Si, Nanyang Institute of Technology (China)
Nanjing Univ. of Science and Technology (China)
Jianliang Qiao, Nanyang Institute of Technology (China)
Nanjing Univ. of Science and Technology (China)
Youtang Gao, Nanyang Institute of Technology (China)
Nanjing Univ. of Science and Technology (China)
Benkang Chang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6835:
Infrared Materials, Devices, and Applications
Yi Cai; Haimei Gong; Jean-Pierre Chatard, Editor(s)

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