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arXiv · 2112.03701

Efficient joint noise removal and multi exposure fusion

A. Buades·J. L Lisani·O. Martorell
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Abstract

Multi-exposure fusion (MEF) is a technique for combining different images of the same scene acquired with different exposure settings into a single image. All the proposed MEF algorithms combine the set of images, somehow choosing from each one the part with better exposure. We propose a novel multi-exposure image fusion chain taking into account noise removal. The novel method takes advantage of DCT processing and the multi-image nature of the MEF problem. We propose a joint fusion and denoising strategy taking advantage of spatio-temporal patch selection and collaborative 3D thresholding. The overall strategy permits to denoise and fuse the set of images without the need of recovering each denoised exposure image, leading to a very efficient procedure.

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A. Buades, J. L Lisani, O. Martorell. 2021-12-04. Efficient joint noise removal and multi exposure fusion. https://doi.org/10.1371/journal.pone.0265464

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