Issues with common assumptions about the camera pipeline and their impact in hdr imaging from multiple exposures
Autor: | Marcelo Bertalmío, Javier Vazquez-Corral, R. Gil Rodríguez |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Image generation
Computer science business.industry Applied Mathematics General Mathematics Pipeline (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Set (abstract data type) Projective transformation Color stabilization 0202 electrical engineering electronic engineering information engineering High dynamic range 020201 artificial intelligence & image processing Computer vision Artificial intelligence Multiexposure sequence business Camera response function |
Popis: | Multiple-exposure approaches for high dynamic range (HDR) image generation share a set of building assumptions: that color channels are independent and that the camera response function (CRF) remains constant while changing the exposure. The first contribution of this paper is to highlight how these assumptions, which were correct for film photography, do not hold in general for digital cameras. As a consequence, results of multiexposure HDR methods are less accurate, and when tone-mapped they often present problems like hue shifts and color artifacts. The second contribution is to propose a method to stabilize the CRF while coupling all color channels, which can be applied to both static and dynamic scenes, and yield artifact-free results that are more accurate than those obtained with state-of-the-art methods according to several image metrics. This work has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement number 761544 (project HDR4EU) and under grant agreement number 780470 (project SAUCE), and by the Spanish government and FEDER Fund, grant ref. TIN2015-71537-P (MINECO/FEDER,UE). The work of J. Vazquez-Corral was supported by the Spanish government under Grant IJCI-2014-19516. |
Databáze: | OpenAIRE |
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