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Proceedings Paper

Multi-frame infrared image restoration
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Paper Abstract

Multi-frame infrared image restoration is concerned with the improvement of imagery acquired in the presence of varying degradations. The degradations can arise from a variety of factors: common examples include undersampling of the 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 multi-frame infrared image restoration problem is discussed, too. We show the origin and restoration infrared images which are used in the application of multi-frame infrared image restoration. By assessing subjectively and objectively to restoration images, we have verified this kind of model and the feasibility of the multi-frame infrared image restoration.

Paper Details

Date Published: 19 February 2008
PDF: 7 pages
Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66250Q (19 February 2008); doi: 10.1117/12.790847
Show Author Affiliations
Si Tian, Nanjing Univ. of Science and Technology (China)
Nanyang Institute of Technology (China)
Jianliang Qiao, Nanjing Univ. of Science and Technology (China)
Nanyang Institute of Technology (China)
Youtang Gao, Nanjing Univ. of Science and Technology (China)
Nanyang Institute of Technology (China)
Yafeng Qiu, Nanyang Institute of Technology (China)
Benkang Chang, Nanyang Institute of Technology (China)


Published in SPIE Proceedings Vol. 6625:
International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications

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