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Proceedings Paper

Infrared polarization image texture extraction via variational decomposition algorithm
Author(s): Weiguo Zhang; Jingjing Zhang; Lina Xun; Feng Wang; Hongwu Yuan; Qing Yan; Kaili Shi
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Paper Abstract

As to extract better texture from an infrared polarization image, variational decomposition has a good effect which extracts texture in the premise of energy index. First this paper introduces description of infrared polarization image in Stokes vector and hierarchical variational decomposition (BV, Gp, L2) model. And we use this model method for multiscale texture extraction of the infrared polarization image. A given infrared polarization image is decomposed into the characteristics of the three different components of u, v, r through the minimization of the energy functional. In this decomposition, v represents the fixed scale texture of f , which is measured by the parameter λ. To achieve a multiscale representation, we proceed to capture essential textures of f which have been absorbed by the residuals. Then we make energy as an index of the texture evaluation. The experiments show that the algorithm is effective to extract better texture from an infrared polarization image.

Paper Details

Date Published: 5 November 2015
PDF: 6 pages
Proc. SPIE 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015, 979509 (5 November 2015); doi: 10.1117/12.2208242
Show Author Affiliations
Weiguo Zhang, Anhui Univ. (China)
Jingjing Zhang, Anhui Univ. (China)
Ctr. of Information Support and Assurance Technology (China)
Lina Xun, Anhui Univ. (China)
Key Lab. of Polarization Imaging Detection Technology (China)
Ctr. of Information Support and Assurance Technology (China)
Feng Wang, Key Lab. of Polarization Imaging Detection Technology (China)
Hongwu Yuan, Key Lab. of Polarization Imaging Detection Technology (China)
Qing Yan, Anhui Univ. (China)
Ctr. of Information Support and Assurance Technology (China)
Kaili Shi, Anhui Univ. (China)


Published in SPIE Proceedings Vol. 9795:
Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015
Shenggang Liu; Songlin Zhuang; Michael I. Petelin; Libin Xiang, Editor(s)

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