Multi-frame infrared image restoration

Si Tian; Jianliang Qiao; Youtang Gao; Yafeng Qiu; Benkang Chang

doi:10.1117/12.790847

Translator Disclaimer

19 February 2008 Multi-frame infrared image restoration

Si Tian, Jianliang Qiao, Youtang Gao, Yafeng Qiu, Benkang Chang

Author Affiliations +

Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 66250Q (2008) https://doi.org/10.1117/12.790847
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

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.

Citation Download Citation

Si Tian, Jianliang Qiao, Youtang Gao, Yafeng Qiu, and Benkang Chang "Multi-frame infrared image restoration", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66250Q (19 February 2008); https://doi.org/10.1117/12.790847

ACCESS THE FULL ARTICLE