Open Access

Multiple Input to Multiple Output Images Fusion Based on Turbo Iteration

EURASIP Journal on Advances in Signal Processing20102010:807098

Received: 31 May 2009

Accepted: 12 January 2010

Published: 7 March 2010


This paper mainly addresses the problem of multipolar Synthetic Aperture Radar (SAR) and colorful optical images fusion by regarding them as multichannel images. Based on traditional wavelet-based and model-based fusion algorithms, the paper proposes a multi-channel image fusion algorithm based on a multi-multiturbo iterative method. Multi-multiframe is proposed to represent the original image information with multiple outputs from better information-separating viewpoints, and turbo iterative balances wavelet-based and model-based fusion. The approach is designed in this manner. First, Intensity-Hue-Saturation (IHS) transformation is applied to the SAR and optical images. Then, different fusion processes are used on corresponding components. Fusion based on multi-multi and turbo iterative is applied to the Intensity component whereas weighted fusion is applied to Hue and Saturation components. To get the final result, inverse IHS transformation is applied. Experimental results show that the proposed algorithm performs effectively in preserving useful complementary information between optical and SAR images.


Optical ImageImage FusionSynthetic Aperture RadarSynthetic Aperture Radar ImageMultiple Input

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Authors’ Affiliations

Signal Processing Laboratory, Department of Communication Engineering, School of Electronic Information, Wuhan University, Wuhan, China


© Chu He et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.