An implementation of the exposure fusion algorithm

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Abstract

Exposure Fusion is a high dynamic range imaging technique to fuse a bracketed exposure sequence into a high quality image, introduced in 2009 by Mertens et al. Contrarily to most HDR imaging methods, exposure fusion does not construct an intermediate HDR image but directly constructs the final LDR one by seamlessly fusing the best regions of the input sequence, using the Laplacian pyramid. Since its publication, this method received considerable attention, being both effective and efficient. We propose in this paper a precise description of the method and an analysis of its main limitation, an out-of-range artifact. The source code, the code documentation, and the online demo are accessible at the web page of this article 1 . It uses the Matlab implementation provided by T. Mertens 2 , merely adapted for its execution with Octave on the IPOL platform.

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APA

Hessel, C. (2018). An implementation of the exposure fusion algorithm. Image Processing On Line, 8, 369–387. https://doi.org/10.5201/ipol.2018.230

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