Title :
Three dimensional photon counting imaging
Author :
Xiao Xiao ; Myungjin Cho ; Javidi, Bahram
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Connecticut, Storrs, CT, USA
Abstract :
In this paper, we overview an iterative method based on total variation constraint and Bayesian framework to restore photon counting images. A 3D photon counting integral imaging using moving array-lens technique (MALT) is also introduced to improve the visualization of a reconstructed 3D scene. Experimental results verify the feasibility of these methods to enhance the visual quality under photon starved conditions.
Keywords :
image restoration; iterative methods; lenses; optical arrays; photon counting; 3D photon counting integral imaging; Bayesian framework; iterative method; moving array lens technique; photon counting image restoration; three dimensional photon counting imaging; total variation constraint; image restoration; integral imaging; moving array lens technique; photon counting;
Conference_Titel :
Information Optics (WIO), 2012 11th Euro-American Workshop on
Conference_Location :
Quebec City, QC
Print_ISBN :
978-1-4673-2000-9
Electronic_ISBN :
978-1-4673-1998-0
DOI :
10.1109/WIO.2012.6488920
