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Proceedings Paper

Image fusion algorithm based on adaptive PCNN model
Author(s): Zhihui Wang; Yong Tie; Shuhua Li
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Paper Abstract

A novel pixel-level image fusion algorithm based on adaptive PCNN model is presented by authors. The algorithm combines the advantages of multiwavelet and PCNN. It is worth mentioning that the algorithm adopts adaptive PCNN model, in which some of the model parameters are determined according to image characteristics or statistical values. The decomposition coefficients of fused image are formed according to the PCNN output number of pulses. The simulation results show that this algorithm is effective. There is a noticeable improvement in the information and visual quality of the fused images.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952T (30 October 2009); doi: 10.1117/12.828486
Show Author Affiliations
Zhihui Wang, Inner Mongolia Univ. (China)
Yong Tie, Inner Mongolia Univ. (China)
Shuhua Li, Inner Mongolia Univ. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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