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Context enhancement through infrared vision: a modified fusion scheme

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Abstract

In the night vision applications, visual and infrared images are often fused for an improved awareness of situation or environment. The fusion algorithms can generate a composite image that retains most important information from source images for human perception. The state of the art includes manipulating in the color spaces and implementing pixel-level fusion with multiresolution algorithms. In this paper, a modified scheme based on multiresolution fusion is proposed to process monochrome visual and infrared images. The visual image is first enhanced based on corresponding infrared image. The final result is obtained by fusing the enhanced image with the visual image. The process highlights the features from visual image, which is most suitable for human perception.

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Authors and Affiliations

  1. VIVA Laboratory, STE 5023 School of Information Technology and Engineering, University of Ottawa, 800 King Edward Avenue, Ottawa, ON, K1N 6N5, Canada

    Zheng Liu & Robert Laganière

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  1. Zheng Liu
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  2. Robert Laganière
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Correspondence to Robert Laganière.

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Liu, Z., Laganière, R. Context enhancement through infrared vision: a modified fusion scheme. SIViP 1, 293–301 (2007). https://doi.org/10.1007/s11760-007-0025-4

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  • DOI: https://doi.org/10.1007/s11760-007-0025-4

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