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Proceedings Paper

Nonlocal structure tensor for pixel level image fusion
Author(s): Fen Luo; Bibo Lu
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Paper Abstract

In this paper, we present a nonlocal structure tensor for feature description and apply it to the pixel level image fusion within the wavelet framework. Local geometric shape information in wavelet coefficients can be extracted and recognized by structure tensor. The structure tensor element is processed by use of the nonlocal means filter before calculating its eigen-values. With the eigen-values of two source data, an adaptive weight function is employed to reconstruct new detail coefficients of the fused image. Experimental results show the performance of the proposed scheme.

Paper Details

Date Published: 15 October 2012
PDF: 6 pages
Proc. SPIE 8419, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy, 84192N (15 October 2012); doi: 10.1117/12.978215
Show Author Affiliations
Fen Luo, Henan Polytechnic Univ. (China)
Bibo Lu, Henan Polytechnic Univ. (China)


Published in SPIE Proceedings Vol. 8419:
6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy
Yadong Jiang; Junsheng Yu; Zhifeng Wang, Editor(s)

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