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IMAGE FUSION THROUGH LINEAR EMBEDDINGS

Citation Author(s):
Diclehan Karakaya, Mehmet Turkan
Submitted by:
Oguzhan Ulucan
Last updated:
24 September 2021 - 6:24pm
Document Type:
Presentation Slides
Document Year:
Event:
Presenters Name:
Oguzhan Ulucan
Paper Code:
1085

Abstract 

Abstract: 

This paper proposes an effective technique for multi-exposure image fusion and visible-infrared image fusion problems. Multi-exposure fusion algorithms generally extract faulty weight maps when the input stack contains multiple and/or severely over-exposed images. To overcome this issue, an alternative method is developed for weight map characterization and refinement in addition to the perspectives of linear embeddings of images and adaptive morphological masking. This framework has then been extended to the visible and infrared image fusion problem. The comprehensive experimental comparisons demonstrate that the proposed algorithm significantly enhances the fused image quality both statistically and visually.

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Dataset Files

ICIP-2021-Presentation-Image Fusion Through Linear Embeddings.pdf

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