Adaptive FPGA NoC-based Architecture for Multispectral Image Correlation

Abstract : An adaptive FPGA architecture based on the NoC (Network-on-Chip) approach is used for the multispectral image correlation. This architecture must contain several distance algorithms depending on the characteristics of spectral images and the precision of the authentication. The analysis of distance algorithms is required which bases on the algorithmic complexity, result precision, execution time and the adaptability of the implementation. This paper presents the comparison of these distance computation algorithms on one spectral database. The result of a RGB algorithm implementation was discussed.
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https://hal-ujm.archives-ouvertes.fr/ujm-00353528
Contributor : Linlin Zhang <>
Submitted on : Thursday, January 15, 2009 - 4:25:09 PM
Last modification on : Wednesday, July 25, 2018 - 2:05:31 PM
Long-term archiving on : Tuesday, June 8, 2010 - 8:18:30 PM

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  • HAL Id : ujm-00353528, version 1
  • ARXIV : 0901.4081

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Linlin Zhang, Anne Claire Legrand, Virginie Fresse, Viktor Fischer. Adaptive FPGA NoC-based Architecture for Multispectral Image Correlation. IS&T CGIV&MCS08, IS&T's fourth European Conference on Colour in Graphics, Imaging, and Vision, and MCS'2008, the 10th International Symposium on Multispectral Colour Science, Jun 2008, Barcelona, Spain. pp.451-456. ⟨ujm-00353528⟩

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