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GENERATION OF HDR IMAGES IN NON-STATIC CONDITIONS BASED ON GRADIENT FUSION
Author(s) -
Sira Ferradans,
Marcelo Bertalmı́o,
Edoardo Provenzi,
Vincent Caselles
Publication year - 2012
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0003840700310037
Subject(s) - computer science , fusion , computer vision , artificial intelligence , image fusion , computer graphics (images) , image (mathematics) , philosophy , linguistics
We present a new method for the generation of HDR images in non-static conditions, i.e. hand held camera and/or dynamic scenes, based on gradient fusion. Given a reference image selected from a set of LDR pictures of the same scene taken with multiple time exposure, our method improves the detail rendition of its radiance map by adding information suitably selected and interpolated from the companion images. The proposed technique is free from ghosting and bleeding, two typical artifacts of HDR images built through image fusion in non-static conditions. The advantages provided by the gradient fusion approach will be supported by the comparison between our results and those of the state of the art.

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