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Proceedings Paper

Fusing electro-optic and infrared signals for high resolution night images
Author(s): Xiaopeng Huang; Ravi Netravali; Hong Man; Victor Lawrence
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Paper Abstract

Electro-optic (EO) images exhibit the properties of high resolution and low noise level, while it is a challenge to distinguish objects at night through infrared (IR) images, especially for objects with a similar temperature. Therefore, we will propose a novel framework of IR image enhancement based on the information (e.g., edge) from EO images, which will result in high resolution IR images and help us distinguish objects at night. Superimposing the detected edge of the EO image onto the corresponding transformed IR image is our principal idea for the proposed framework. In this framework, we will adopt the theoretical point spread function (PSF) proposed by Russell C. Hardie et al. for our IR image system, which is contributed by the modulation transfer function (MTF) of a uniform detector array and the incoherent optical transfer function (OTF) of diffraction-limited optics. In addition, we will design an inverse filter in terms of the proposed PSF to conduct the IR image transformation. The framework requires four main steps, which are inverse filter-based IR image transformation, EO image edge detection, registration and superimposing of the obtained image pair. Simulation results will show the superimposed IR images.

Paper Details

Date Published: 2 February 2012
PDF: 10 pages
Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82951O (2 February 2012); doi: 10.1117/12.920032
Show Author Affiliations
Xiaopeng Huang, Stevens Institute of Technology (United States)
Ravi Netravali, Columbia Univ. (United States)
Hong Man, Stevens Institute of Technology (United States)
Victor Lawrence, Stevens Institute of Technology (United States)

Published in SPIE Proceedings Vol. 8295:
Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II
Karen O. Egiazarian; John Recker; Guijin Wang; Sos S. Agaian; Atanas P. Gotchev, Editor(s)

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