Multi-sensor image fusion using subband decomposed multiscale retinex

Authors:
Jae Ho Jang;Yoonsung Bae;Jong Beom Ra
Affiliations:
Department of Electrical Engineering, KAIST, Daejeon, Korea;Department of Electrical Engineering, KAIST, Daejeon, Korea;Department of Electrical Engineering, KAIST, Daejeon, Korea
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

This paper presents a novel multi-sensor image fusion algorithm to generate a contrast-enhanced fused image. The algorithm is based on a framework of the subband decomposed multiscale retinex (SD-MSR) that is one of the contrast enhancement methods. It also uses two complementary intensity transfer functions to enhance the details in both shadows and highlights. For effective contrast enhancement, we suggest a novel fusion strategy which reflects the characteristics of SD-MSR well. Thereby, even if input images have poor contrast, the proposed algorithm is able to generate a fused image with highly enhanced contrast. Experimental results demonstrate that the algorithm performs well for generating high contrast fused images.